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Kumar, Indrajeet. "Cloud Computing-based Disaster Recovery." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (2020): 815–20. http://dx.doi.org/10.17762/turcomat.v11i1.13562.
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Cloud-based disaster recovery (DR) solutions help organisations recover from natural disasters and cyberattacks quickly and affordably. Cloud-based disaster recovery solutions improve recovery times, capital costs, scalability, and security. Yet, data security and DR strategy are still barriers to adoption. Only two issues. Besides these challenges, cloud-based catastrophe recovery looks promising. Cloud-based disaster recovery solutions will continue to grow as cloud technology improves. Hybrid cloud disaster recovery solutions, which integrate public and private cloud environments, will continue to grow in popularity, as will DRaaS, a cost-effective and flexible disaster recovery solution. As cloud-based disaster recovery solutions grow more prevalent, organisations must understand their disaster recovery needs, carefully analyse their cloud service providers' security and compliance procedures, and regularly test and update their disaster recovery plans and solutions. If organisations follow these measures, they may maximise the benefits of cloud-based disaster recovery solutions to safeguard their critical data and apps and ensure business continuity in a disaster.
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Velmurugan, Dhakshnamoorthy. "Revolutionizing Disaster Recovery: Fully Automated Cloud Solutions." European Journal of Advances in Engineering and Technology 11, no. 12 (2024): 1–2. https://doi.org/10.5281/zenodo.14540055.
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In today's digital landscape, seamless business continuity and disaster recovery (DR) are essential. This article explores an innovative DR solution implemented in Oracle Cloud Infrastructure (OCI) across Ashburn and Singapore regions, using Ansible and Jenkins for full automation. The solution allows for independent, on-demand DR switches with minimal manual intervention, achieving excellent recovery time objectives (RTO) and recovery point objectives (RPO). It includes real-time data synchronization using Oracle Data Guard, automated switch-over processes, and integration with third-party systems. The solution also provides significant cost savings with reduced capacity when either site is inactive, achieving near-zero RPO and an RTO of 1 hour, ensuring minimal downtime for Oracle applications.
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Akula, Naga Venkata Chaitanya. "Optimizing Regional Disaster Recovery in OpenShift: A Multi-Cluster Approach with RHACM and ODF." International Journal of Computational Mathematical Ideas 17, no. 01 (2025): 7027–38. https://doi.org/10.70153/ijcmi/2025.17101.
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In the current digital environment, it is crucial for businesses to implement robust disaster recovery (DR) strategies to counteract risks posed by cyber threats, hardware malfunctions, and natural calamities. This paper examines an improved Regional Disaster Recovery (Regional-DR) strategy within OpenShift, which incorporates Red Hat Advanced Cluster Management (RHACM) and OpenShift Data Foundation (ODF) to enable smooth application failover and data replication. The practical application of Regional-DR showcases how applications and storage can be synchronized across several geographically dispersed clusters. The solution achieved a Recovery Time Objective (RTO) of 5 minutes and a Recovery Point Objective (RPO) of 3 minutes, ensuring minimal downtime and data loss. Furthermore, best practices for maintaining business continuity and enhancing system resilience using OpenShift’s built-in DR features are analysed. The findings demonstrate how enterprises can utilize OpenShift’s multi-cluster disaster recovery capabilities for effective failover management and improved performance.Key words:OpenShift Disaster Recovery,Regional Disaster Recovery (Regional-DR) Red Hat Advanced Cluster Management (RHACM),OpenShift Data Foundation (ODF) Multi-Cluster Management,Kubernetes Disaster Recovery,Failoverand Failback Automation,Persistent Storage Replication, RecoveryTime Objective (RTO), RecoveryPoint Objective (RPO), Cloud-Native Disaster Recovery, DataSynchronization, ResilientInfrastructure
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Phillips, Judith Robertson R., and Katie E. Cherry. "INTEREST GROUP SESSION—DISASTERS AND OLDER ADULTS: HARNESSING THE POWER OF SOCIAL NETWORKS DURING DISASTERS TO FACILITATE PREPARATION AND RECOVERY." Innovation in Aging 3, Supplement_1 (2019): S390. http://dx.doi.org/10.1093/geroni/igz038.1434.
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Abstract With the increasing occurrences of disasters throughout the world, researchers, communities, and organizations have become interested in how the use of social networks during and after a disaster can ease the psychological recovery of older adults who are affected by traumatic disaster events such as hurricanes and wildfires. This symposium will focus on the power of social networks and highlight the importance of preparedness, informal and formal groups, and interventions to assist recovery of older adults. First, Dr. Judith Phillips will present data on how informal and formal social network groups affected the psychological well-being of older adults who experienced exposure to multiple wildfires. Second, Dr. Denise Eldemire-Shearer will address how both formal and informal social network groups in Jamaica are informed and mobilized to provide support to older adults on the island during hurricanes and other water-related disasters. Third, Dr. Lisa Brown will introduce the Skills for Psychological Recovery intervention and provide an overview and modifications needed when using with older adults; she will also demonstrate an exercise. Fourth, Dr. Debra Dobbs will present themes examining the role of community engagement in hurricane preparedness which were gathered from focus groups and interviews with assisted living administrators in Florida. Lastly, Dr. Mary Helen McSweeney-Feld will address how voluntary organizations active during disasters aid older adults with disaster relief efforts. Together these presenters will provide evidence of the power of various social networks that will lessen the vulnerability of older adults after disasters.
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Hayashi, Haruo, and Shunichi Koshimura. "Special Issue on the 100th Anniversary of the Great Kanto Earthquake." Journal of Disaster Research 18, no. 6 (2023): 553–54. http://dx.doi.org/10.20965/jdr.2023.p0553.
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On September 1, 1923, the Great Kanto Earthquake struck the Tokyo metropolitan area of Japan. It was an extremely powerful earthquake that caused a great fire. The death toll reached approximately 105,000, and the economic loss is estimated to have exceeded 30% of the Japanese gross national product at that time. For September 2023, the Journal of Disaster Research (JDR) has planned a special issue to commemorate 100 years since the Great Kanto Earthquake. While previous special issues by the JDR have focused on specific disasters, this special issue will focus on the lessons and findings from the catastrophe and will cover even the progress of disaster research since then. We received fourteen important and thought-provoking manuscripts not only on scientific and engineering aspects but also on social and cultural aspects, including comparisons with other disasters, historical views, reconstruction issues, and future perspectives. These fourteen articles can be categorized into the three groups described below. The first four articles are the English translations of articles that originally appeared in “Koho Bosai,” the bimonthly journal on natural disaster reduction that is complied and published by the Disaster Management Section, Cabinet Office, Government of Japan. The JDR believes that these four articles provide a concise English description of various aspects of the Great Kanto Earthquake disasters. Dr. Takemura summarizes the seismic features of the 1923 Kanto Earthquake. Dr. Sekizawa summarizes the large scale urban fires that it caused. Dr. Suzuki describes various aspects of the emergency responses. Dr. Murosaki details the recovery project in Tokyo. Those articles discussed various lessons learned from the 1923 Kanto Earthquake and emphasized the importance of transferring the lessons toward future disaster mitigation. The next six papers were originally works studying various aspects of the Great Kanto Earthquake disasters. Dr. Midorikawa reviews the strong ground motion of the 1923 Kanto Earthquake. Dr. Kaneko evaluates the resulting tsunami. Mr. Mammen sheds new light on the relationship between Charles A. Beard and Goto Shinpei in terms of the recovery. Dr. Albini studies the voices of foreign residents who left impressive disaster processes at that time. Dr. Murao reviews the urbanization of Tokyo after the Kanto Earthquake. Dr. Shima studies the response of the Tokyo Electric Light Company, Inc. to the 1923 Great Kanto Earthquake. The last four papers are works on various aspects of disaster risk reduction, but all of these works were inspired by the 1923 Great Kanto Earthquake in one way or another. Dr. Shaw provides a framework for repositioning earthquake risk reduction. Dr. Shimbo explores the Phase Free Concept. Dr. Shoji focuses on the possibility of Medium-Wave AM Radio Broadcasting. Dr. Yamaguchi studies the Risk Communication Method. The Editorial Board of the JDR thanks all of these contributors and hopes that these articles serve as great sources for further research in disaster risk reduction.
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Al‐Badi, Ali H., Rafi Ashrafi, Ali O. Al‐Majeeni, and Pam J. Mayhew. "IT disaster recovery: Oman and Cyclone Gonu lessons learned." Information Management & Computer Security 17, no. 2 (2009): 114–26. http://dx.doi.org/10.1108/09685220910963992.
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PurposeThis paper aims to explore the issues of information technology (IT) disaster recovery (DR) and business continuity planning (BCP) in light of Cyclone Gonu in Oman.Design/methodology/approachThe paper includes a survey of the latest literature on the subject, then documents a study of public and private sector organizations together with their DR and BCP practices.FindingsThe paper investigates how public and private organizations in Oman plan to respond to disasters. It shows that while some organizations pay attention to the need for DR/BCP, many do not. A significant finding is that while organizations have disaster related plans, almost half of those surveyed do not rehearse them. Nevertheless, organizations surveyed indicate that they have learned valuable lessons from Gonu. It remains to be seen whether these lessons will be turned into effective and properly deployed DR/BCP plans.Originality/valueThis paper draws lessons from the experiences and challenges raised by Gonu, and concludes with a set of recommendations that organizations may adopt to ensure business continuity. It provides a useful evaluation of the preparedness of IT departments in both public and private sectors in Oman. The recommendations given at the end of the paper could be of a great value for many organizations and groups, spreading awareness of the importance of being prepared for such eventualities.
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Somi, Vivek. "From Backup and Restore to Multi-Site Active: Evaluating the Spectrum of AWS Disaster Recovery Solutions." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 1 (2025): 2154–63. https://doi.org/10.54660/.ijmrge.2025.6.1.2154-2163.
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A fundamental component of cloud architecture, disaster recovery (DR) guarantees business continuity in the event of failures. Based on Recovery Time Objective (RTO), Recovery Point Objective (RPO), cost, and complexity, this review looks at AWS disaster recovery techniques—from Backup and Restore to Multi-Site Active/Active. While Pilot Light and Warm Standby balance cost and recovery speed by retaining either minimum or reduced infrastructure, Backup and Restore offers a sluggish but reasonably priced recovery choice. Multi-Site Active/Active guarantees almost instantaneous failover but requires large operational overhead and financial outlay. Implementation of DR solutions depends much on AWS products such AWS Elastic Disaster Recovery, Amazon S3, AWS Cloud Formation, and Amazon Route 53. Key best practices to maximize DR impact are automation, testing, and monitoring. Smooth failover and restoration depend on addressing issues such data synchronization, network configuration, and application dependencies. Comparative study shows that an organization's tolerance for downtime, financial restrictions, and compliance needs determines its ideal DR strategy. While those wanting faster recovery can choose Pilot Light or Warm Standby, cost-sensitive companies can depend on Backup and Restore. Despite their great expense and complexity, Multi-Site Active/Active helps mission-critical systems needing highest availability. Resilience and efficiency will be improved by future trends in AWS DR including increased multi-region replication, serverless failover, and AI-driven automation. Organizations may reduce risk, guarantee data integrity, and accomplish flawless recovery in disaster situations by implementing a clearly defined, scalable, tested DR strategy.
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Dileep, Valiki. "Approaches to Disaster Recovery in Cloud Databases: A Comparative Analysis of Current Mechanisms." International Journal of Engineering and Computer Science 11, no. 12 (2024): 25634–46. http://dx.doi.org/10.18535/ijecs/v11i12.4709.
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Disaster recovery (DR) is a critical aspect of maintaining the availability, integrity, and continuity of cloud databases, which store and manage vast amounts of mission-critical data. With the increasing reliance on cloud platforms for business operations, organizations must implement effective disaster recovery mechanisms to safeguard against data loss, downtime, and system failures. This paper presents a comparative analysis of current disaster recovery approaches in cloud databases, examining the strengths and weaknesses of various strategies, including backup and restore, data replication, and automated failover systems. We evaluate how these mechanisms are applied in different cloud models (public, private, and hybrid), considering factors such as recovery time objectives (RTO), recovery point objectives (RPO), cost, and scalability. The paper also discusses emerging technologies and trends in cloud DR, such as real-time data synchronization, machine learning-based predictive recovery, and multi-cloud disaster recovery solutions. Additionally, the role of cloud service providers’ Service Level Agreements (SLAs) in defining DR expectations is analyzed. By comparing the advantages and limitations of these mechanisms, this paper provides insights into how organizations can select the most appropriate DR strategy based on their specific business needs and risk tolerance. The study concludes by offering recommendations for optimizing disaster recovery plans in cloud environments to ensure business continuity and data protection in the face of unexpected disruptions.
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Nandedkar, Rishiraj. "AI use in Automated Disaster Recovery for IT Applications in Multi Cloud." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–12. http://dx.doi.org/10.55041/ijsrem36816.
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Artificial intelligence (AI) has significantly impacted various industries, including disaster recovery (DR) planning for IT Applications, virtualization, and Databases. With the growth of servers, Data, and advancements in AI, real-time analytics and time-sensitive applications are now feasible. In disaster recovery, AI can automate processes, initiate DR plans swiftly during untimely downtimes in the IT industry whether it is enterprises, BFSI, manufacturing, or health care IT applications, and provide critical insights. This paper discusses use cases for AI in the DR workflow: pre- disaster, implementation, and aftermath. The benefits and challenges of AI adoption in disaster management are also highlighted.
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Nakabayashi, Itsuki. "A Short Note for Dr. Murakami’s Review in 1986." Journal of Disaster Research 1, no. 1 (2006): 72. http://dx.doi.org/10.20965/jdr.2006.p0072.
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Dr. Murakami’s review reconfirms that Japan’s high economic growth following World War II did not realize the construction of urban areas robust against disaster, rather, the destruction caused by repeated natural disasters has triggered the development of disaster management measures. When all major Japanese cities but Kyoto were destroyed in the catastrophic American air raids of 1945, the urban development in Japan has begun. Among the disasters bearing valuable lessons in the need for disaster management was the 1959 Ise-Bay (Ise-Wan) Typhoon, which led to the 1961 Disaster Countermeasures Basic Act laying the groundwork for disaster management measures in Japan. This law obligated the central government and local organizations to take three measures: (1) preparedness against disaster to reduce damage before a disaster strikes; (2) measures against disaster to control the spread of damage and to promote emergency recovery; and (3) preparation of restoration plans transforming damaged urban areas into safer, more comfortable locales by repairing damage, reconstructing residences, and returning daily life to its natural order. Dr. Murakami’s paper shows how difficult it is to remodel already established but dangerous cities into safe ones. The 1964 Niigata Earthquake promoted measures in managing earthquake destruction in urban areas, as did the Tokachi Offshore (Tokachi-Oki) Earthquake of 1968 and the Miyagi Prefecture Offshore (Miyagi-Ken-Oki) Earthquake of 1978, which triggered revision of the Building Standard Law. These developments did not, however, mean that cities had become safe. If the lessons taught by disasters in the 1960s and 70s had actually been implemented in urban development, the tremendous damage precipitated by the Great Hanshin-Awaji Earthquake in Kobe in 1995 might have been reduced. What we should note here is that the efforts toward urban disaster management measures taken during this period have formed a firm base for current urban disaster management measures. Itsuki Nakabayashi Professor, Tokyo Metropolitan University
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Zein Samira, Yodit Wondaferew Weldegeorgise, Olajide Soji Osundare, Harrison Oke Ekpobimi, and Regina Coelis Kandekere. "Disaster recovery framework for ensuring SME business continuity on cloud platforms." Computer Science & IT Research Journal 5, no. 10 (2024): 2244–62. http://dx.doi.org/10.51594/csitrj.v5i10.1620.
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Disaster recovery (DR) is a critical component of ensuring business continuity, especially for Small and Medium-sized Enterprises (SMEs) that rely heavily on cloud platforms for their operations. SMEs face unique challenges, including limited financial and technical resources, making it essential to develop a disaster recovery framework that is both cost-effective and robust. This proposes a disaster recovery framework that minimizes downtime and data loss, leveraging the capabilities of cloud platforms to ensure continuous business operations. The proposed framework focuses on three key objectives viz reducing Recovery Point Objectives (RPO), minimizing Recovery Time Objectives (RTO), and ensuring scalability. RPO refers to the amount of data that can be lost before causing significant harm to the business, while RTO measures the time it takes to restore operations after a disaster. The framework achieves these objectives through cloud-based replication and automated backup systems. Data replication across geographically distributed data centers ensures that a copy of the data is always available, while incremental backups reduce the potential for data loss, ensuring that SMEs can recover recent transactions and information with minimal disruption. Automation plays a central role in the disaster recovery process. Using tools like AWS Elastic Disaster Recovery or Azure Site Recovery, SMEs can implement automated failover procedures that trigger in the event of an outage. This automation significantly reduces manual intervention, decreasing the likelihood of human error while improving recovery speed. Furthermore, periodic testing of disaster recovery plans is incorporated to ensure preparedness, with simulations identifying any vulnerabilities in the DR strategy. By using a pay-as-you-go model for cloud resources, SMEs can scale their disaster recovery solutions as their operations grow, optimizing costs while maintaining flexibility. This framework provides a comprehensive, affordable solution for SMEs to safeguard their business continuity, protecting them from the potentially devastating impacts of data loss and downtime. Keywords: Disaster Recovery, SME Business, Cloud Platforms, Review.
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Ahmed Abdelaziz, Saleh Mesbah, and Mohamed Kholief. "Innovative Cost-Efficient Cloud Computing-Based Models for Disasters Management." Journal of Advanced Research in Applied Sciences and Engineering Technology 48, no. 1 (2024): 100–116. http://dx.doi.org/10.37934/araset.48.1.100116.
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Cloud computing has transformed the digital landscape, offering scalable services to individuals and businesses. However, ensuring continuous cloud service availability requires robust disaster management. For instance, in case of strikes of natural disasters, a fully functioning cloud landscape will collapse, which leads to substantial loss in terms of time, effort, and monetary aspects. This research paper explores current cloud computing solutions, emphasizing the importance of disaster management, and introduces two innovative models for selecting potential backup sites. The study begins with a comprehensive review of existing cloud computing solutions and their disaster management mechanisms. Evaluating their strengths and limitations, However, the current disaster recovery (DR) solutions are costly since they demand permanent contracts with cloud providers to pre-assign constant DR locations as replicas of the primary landscapes. To minimize this cost, we stress the urgent need for cost-effective disaster recovery strategies. This is accomplished by developing two models considering the most influential factors that contribute to DR site selection. The Weighted Grid Decision Model (WGDM) combines geographical and environmental attributes to evaluate the desirability of candidate sites. This structured approach allows for informed decision-making. The second model, the Artificial Neural Network (ANN) model, leverages machine learning to analyse historical data on disaster incidents and their effects on cloud infrastructure. By identifying patterns and trends, the ANN model assists in making intelligent backup site choices. This research demonstrates the benefits of employing AI-driven decision-making tools for disaster management in cloud computing.
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Akbar, Fillahi. "PERENCANAAN DISASTER RECOVERY BERBASIS CLOUD PADA WEB JURNAL UIN AR-RANIRY." JINTECH Journal Of Information Technology 5, no. 1 (2024): 24–31. http://dx.doi.org/10.22373/jintech.v5i1.5505.
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Era informasi saat ini telah menjadikan sistem teknologi sebagai landasan utama operasional organisasi. Dalam konteks ini, urgensi rencana Disaster Recovery (DR) menjadi suatu keharusan mutlak. DR adalah proses antisipasi dan penanganan bencana terkait teknologi oleh organisasi. Penelitian ini merupakan perencanaan Disaster Recovery berbasis Cloud dengan menggunakan Amazon Web Service (AWS) pada web Jurnal Universitas Islam Negeri Ar-Raniry (UIN Ar-Raniry). Metode yang digunakan adalah Kualitatif Deskriptif. Peneliti mengumpulkan informasi umum, informasi teknis, dan informasi tentang list server dari web jurnal UIN Ar-Raniry. Hasil penelitian ini menggambarkan perencanaan Disaster Recovery menggunakan AWS yang dapat melindungi sistem web jurnal UIN Ar-Raniry dan lingkungannya, juga mengantisipasi serta memprediksi kemungkinan terjadinya bencana. Rencana DR ini memiliki Recovery Time Objective (RTO) sekitar 5 menit dan Recovery Point Objective (RPO) sekitar 1 jam. Tujuannya adalah untuk memastikan kelancaran operasional dan keamanan informasi ketika terjadi bencana maupun insiden.
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Yu Gu, Dongsheng Wang, and Chuanyi Liu. "DR-Cloud: Multi-cloud based disaster recovery service." Tsinghua Science and Technology 19, no. 1 (2014): 13–23. http://dx.doi.org/10.1109/tst.2014.6733204.
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Karthik Venkatesh Ratnam. "From Outages to Excellence: Building Resilience with Disaster Recovery in the Cloud." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1997–2006. https://doi.org/10.32628/cseit251112208.
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Cloud-based disaster recovery (DR) has emerged as a transformative approach to building organizational resilience, fundamentally changing how businesses protect their critical systems and data. This article explores the evolution from traditional DR methods to modern cloud-based solutions, examining their architectural components, implementation strategies across various industries, and integration with advanced technologies. Through analysis of real-world applications and case studies, it demonstrates how cloud DR solutions enable organizations to achieve superior recovery objectives while maintaining cost-effectiveness and scalability. This article highlights the significance of automated monitoring, AI-driven anomaly detection, and continuous testing in establishing robust DR strategies. Furthermore, it focuses on industry-specific challenges and solutions, providing insights into best practices for optimizing cloud DR implementations. It also indicates that organizations embracing cloud-based DR not only enhance their business continuity capabilities but also gain strategic advantages in adaptability and operational excellence. This comprehensive article on cloud DR encompasses current practices, emerging trends, and future challenges, offering valuable insights for technology leaders and practitioners in the field of disaster recovery and business continuity.
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Bremner, Barry. "Back in business - fast." ITNOW 37, no. 3 (1995): 23. https://doi.org/10.1093/combul/37.3.23.
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Abstract Datashield Limited, a member of the Sogeris Group, is a major vendor of IBM disaster recovery solutions in the UK. Datashield’s Recovery Centre is the UK’s only stand-alone, dedicated disaster recovery site and contains a wealth of facilities and equipment designed to meet the DR requirements of companies in the 1990s. As the result of its acquisition from Data Sciences in 1993 by Sogeris of France, Datashield is now part of the biggest dedicated disaster recovery group in Europe with recovery centres in the UK, France and Belgium. The Sogeris Group is quoted on the Paris Stock Exchange
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Monisha., S., and S. Venkateshkumar Dr. "Cloud Computing in Data Backup and Data Recovery." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 865–67. https://doi.org/10.31142/ijtsrd18652.
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Data backup and Disaster Recovery Business Continuity issues are appropriate essential in networks since the importance and shared value of digital data is continuously rising. Every organization requires business continuity plan or disaster recovery plan and data backup which reduce within the cost constraints while achieving the target recovery requirements in terms of recovery time objective and recovery point objective. The aim of this paper is to overview of various techniques in data backup and disaster recovery in the cloud environment. Monisha. S | Dr. S. Venkateshkumar "Cloud Computing in Data Backup and Data Recovery" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18652.pdf
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Alozie, Chisom Elizabeth, Joshua Idowu Akerele, Eunice Kamau, and Teemu Myllynen. "Disaster Recovery in Cloud Computing: Site Reliability Engineering Strategies for Resilience and Business Continuity." International Journal of Management and Organizational Research 3, no. 1 (2024): 36–48. https://doi.org/10.54660/ijmor.2024.3.1.36-48.
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In the rapidly evolving landscape of cloud computing, disaster recovery (DR) remains a critical aspect of ensuring resilience and business continuity. This review explores the integration of Site Reliability Engineering (SRE) strategies into disaster recovery frameworks, highlighting their role in enhancing cloud-based systems' robustness and recovery capabilities. Disaster recovery in cloud environments involves more than just data backup and system restore; it requires a comprehensive approach that encompasses preparation, response, and recovery to minimize downtime and data loss. Site Reliability Engineering, with its focus on reliability, performance, and efficiency, provides a structured methodology for managing disaster recovery. Key strategies include implementing robust redundancy mechanisms, such as multi-region deployments and automated failover processes, which ensure that systems remain operational even in the face of significant disruptions. Additionally, SRE practices emphasize the importance of proactive monitoring and alerting, which facilitate early detection of potential issues and enable rapid response to incidents. Another crucial aspect is the use of chaos engineering principles to test and validate disaster recovery plans. By simulating failure scenarios, organizations can identify weaknesses in their DR strategies and make necessary adjustments before actual incidents occur. This proactive approach helps in building more resilient systems capable of withstanding real-world disruptions. Effective disaster recovery also requires a well-defined incident response plan, which includes clear protocols for data backup, recovery, and communication. SRE strategies advocate for regular testing and updating of these plans to ensure their effectiveness and alignment with evolving business needs. In summary, the integration of Site Reliability Engineering strategies into disaster recovery practices provides a robust framework for enhancing cloud computing resilience and business continuity. By leveraging redundancy, proactive monitoring, and chaos engineering, organizations can better prepare for and respond to disruptions, ensuring minimal impact on operations and maintaining service reliability.
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Hitesh Premshankar Rai, Pavan Ogeti, Narendra Sharad Fadnavis, Gireesh Bhaulal Patil, and Uday Krishna Padyana. "Disaster Recovery in Cloud Environments: Strategies for Business Continuity." International Journal for Research Publication and Seminar 10, no. 3 (2019): 111–21. http://dx.doi.org/10.36676/jrps.v10.i3.1460.
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The most important components of a firm are business continuity and disaster recovery planning, although they are often disregarded. Even before a crisis strikes, businesses need to have a well-organized strategy and documentation for business continuity and recovery after a disaster. A single cloud is characterised as a collection of servers housed in one or more data centres that are provided by a single supplier. Nonetheless, there are several reasons why switching from a single cloud to multiple clouds is sensible and crucial. For example, single cloud providers are still vulnerable to outages, which impacts the database's availability. Furthermore, the single cloud may experience partial or whole data loss in the event of a catastrophe. Due to the significant risks of database accessibility failure and the potential for malevolent insiders inside the single cloud, it is anticipated that consumers would become less fond of single clouds. Cloud-based Disaster Recovery (DR) enables the coordinated use of resources from many cloud services offered by the DR Service provider. Thus, it is essential to create a workable multi-cloud-based Disaster Recovery (DR) architecture that minimises backup costs in relation to Recovery Time Objective (RTO) and Recovery Point Objective (RPO). By achieving high data dependability, cheap backup costs, quick recovery, and business continuity before to, during, and after the catastrophic incidence, the framework should preserve accessibility to data. This study suggests a multi-cloud architecture that ensures high data availability before to, during, and after the catastrophe. Additionally, it guarantees that database services will continue both before and after the financial crisis.
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Anju, Bhole. "Cloud Computing for Disaster Recovery and Business Continuity." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 9, no. 4 (2023): 1–12. https://doi.org/10.5281/zenodo.14598703.
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The emergence of cloud computing has fundamentally altered the landscape of disaster recovery (DR) and business continuity (BC) strategies. With an increasing frequency of operational disruptions, including cyber threats and natural calamities, organizations must prioritize the seamless availability of key services and the protection of critical data. Traditional DR systems, often burdened by substantial initial costs and limited physical infrastructure, contrast sharply with the dynamic, scalable, and cost-effective solutions provided by cloud technology. By harnessing the advantages of redundancy, automation, and remote access, cloud computing enables businesses to bolster their resilience and minimize downtime during crises. This paper delves into the multifaceted role of cloud computing within disaster recovery and business continuity frameworks, examining the merits of public, private, and hybrid cloud models, while also addressing the associated challenges such as security, data privacy, and compliance. Through a thorough review of contemporary practices, emerging trends, and case studies, this research elucidates how cloud technologies are redefining disaster recovery strategies across global enterprises.
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Sreenu, Maddipudi. "Disaster Recovery in Cloud Infrastructure: Ensuring Business Continuity in Aviation and Manufacturing." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 2 (2020): 1–7. https://doi.org/10.5281/zenodo.14280258.
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In an increasingly digital world, cloud infrastructure has become a cornerstone for many industries, particularly in sectors like aviation and manufacturing, where operational continuity is critical. However, the growing dependence on cloud-based systems introduces risks associated with service disruptions, data loss, or cyberattacks. Disaster recovery (DR) strategies are essential to ensure business continuity and minimize downtime during unforeseen events. This paper explores the importance of disaster recovery in cloud infrastructure, specifically focusing on the aviation and manufacturing sectors. It discusses best practices, challenges, and solutions for implementing robust DR strategies to safeguard operations and ensure resilience in these high-stakes industries.
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Kota, Kawasaki. "A study of current status and issues concerning planning for revitalization of Fukushima after Fukushima nuclear disaster." Impact 2020, no. 6 (2020): 40–42. http://dx.doi.org/10.21820/23987073.2020.6.40.
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On 11 March 2011, the nuclear accident at Fukushima Daiichi Nuclear Power Station was generated by the Tohoku-Pacific Ocean Earthquake. The accident caused a massive amount of radioactive materials to spread across a wide area and forced more than 160,000 residents to evacuate their hometowns for a long period of time. The only similar event to have occurred is the Chernobyl disaster of 1986 which, like the Fukushima disaster, was rated 7 (the most serious level) by the International Nuclear Event Scale. Dr Kawasaki Kota, based at the Faculty of Symbiotic Systems Science, Fukushima University, has dedicated his career to understanding more about the impact of the Fukushima disaster. He is now conducting research on recovery after the Fukushima disaster, with the aim of rehabilitating victims and regenerating affected areas. The research has significant academic and practical implications for the livelihood rehabilitation of disaster victims and the regeneration of affected areas. It also has international academic significance because of the small amount of research concerning the recovery from nuclear disasters, and will contribute to consider how to create a sustainable future and more resilient human society.
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Jaya Krishna Vemuri. "Business Continuity and Disaster Recovery in Snowflake: A Technical Deep Dive." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2341–50. https://doi.org/10.32628/cseit251112254.
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This technical deep dive examines Snowflake's comprehensive approach to Business Continuity and Disaster Recovery (BC/DR) in cloud-based data warehousing environments. The article explores how Snowflake addresses the challenges of exponential data growth and increasing real-time processing demands through advanced features including geo-redundant storage, time travel capabilities, and automated failover mechanisms. It article the platform's implementation of security frameworks, continuous data protection, and audit logging while providing detailed insights into best practices for organizations implementing BC/DR strategies. The discussion encompasses the technical architecture, performance optimizations, and practical considerations for maintaining operational resilience across multiple cloud providers and geographical regions, offering a comprehensive framework for enterprise-grade disaster recovery implementation.
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Researcher. "ADVANCED DISASTER RECOVERY STRATEGIES FOR HYBRID CLOUD ENVIRONMENTS: A COMPREHENSIVE TECHNICAL GUIDE." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 1147–59. https://doi.org/10.5281/zenodo.14329902.
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This comprehensive technical article analysis explores advanced disaster recovery strategies specifically designed for hybrid cloud environments, addressing the evolving challenges organizations face in maintaining business continuity. The article examines the fundamental components of hybrid cloud DR solutions, including infrastructure requirements, orchestration tools, and data replication technologies. Through detailed case studies across financial services, healthcare, and manufacturing sectors, the article demonstrates the critical importance of integrated DR approaches in modern enterprise environments. The article analysis covers emerging technologies such as AI-driven orchestration, containerization, and edge computing, while providing practical insights into implementation strategies and best practices. Special attention is given to compliance requirements, cost management considerations, and performance optimization techniques. The article also explores future trends and technological developments that are reshaping DR strategies, offering organizations a roadmap for building resilient disaster recovery solutions that align with their business objectives and technological capabilities.
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Gurulakshmanan, Gurumoorthi, and Raveendra Nandhavanam Amarnath. "Efficient and robust disaster recovery system using cloud-based algorithms with data integrity." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 1 (2024): 388. http://dx.doi.org/10.11591/ijeecs.v35.i1.pp388-396.
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Incorporating cloud-based algorithms for disaster recovery (DR), it explores data replication, failover, virtual machine (VM) migration, and consistency algorithms. These algorithms play a pivotal role in safeguarding data and system continuity during unforeseen disruptions. Data replication ensures redundancy, failover algorithms swiftly transition to backup resources, VM migration facilitates resource optimization, and consistency algorithms maintain data integrity. Leveraging cloud technology enhances the effectiveness of these algorithms, providing robust DR solutions critical for business continuity in today's digital landscape. The recent growth in popularity of internet services on a massive scale has also raised the demand for stable underpinnings. Despite the fact that DR for big data is frequently overlooked in security research, the majority of existing approaches use a narrow, endpoint-centric approach. The significance of DR strategies has grown as cloud storage has become the norm for more data. But traditional cloud-centric DR techniques may be expensive, thus less expensive alternatives are being sought. There is persistent concern in the information technology (IT) community about whether or not cloud service providers (CPs) can guarantee data and service continuity in the event of a disaster.
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Gurumoorthi, Gurulakshmanan Raveendra Nandhavanam Amarnath. "Efficient and robust disaster recovery system using cloud-based algorithms with data integrity." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 1 (2024): 388–96. https://doi.org/10.11591/ijeecs.v35.i1.pp388-396.
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Incorporating cloud-based algorithms for disaster recovery (DR), it explores data replication, failover, virtual machine (VM) migration, and consistency algorithms. These algorithms play a pivotal role in safeguarding data and system continuity during unforeseen disruptions. Data replication ensures redundancy, failover algorithms swiftly transition to backup resources, VM migration facilitates resource optimization, and consistency algorithms maintain data integrity. Leveraging cloud technology enhances the effectiveness of these algorithms, providing robust DR solutions critical for business continuity in today's digital landscape. The recent growth in popularity of internet services on a massive scale has also raised the demand for stable underpinnings. Despite the fact that DR for big data is frequently overlooked in security research, the majority of existing approaches use a narrow, endpoint-centric approach. The significance of DR strategies has grown as cloud storage has become the norm for more data. But traditional cloud-centric DR techniques may be expensive, thus less expensive alternatives are being sought. There is persistent concern in the information technology (IT) community about whether or not cloud service providers (CPs) can guarantee data and service continuity in the event of a disaster.
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Zein Samira, Yodit Wondaferew Weldegeorgise, Olajide Soji Osundare, Harrison Oke Ekpobimi, and Regina Coelis Kandekere. "Comprehensive data security and compliance framework for SMEs." Magna Scientia Advanced Research and Reviews 12, no. 1 (2024): 043–55. http://dx.doi.org/10.30574/msarr.2024.12.1.0146.
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Small and Medium-sized Enterprises (SMEs) are increasingly relying on cloud platforms to support critical business operations, making effective disaster recovery (DR) strategies essential for ensuring business continuity. This review proposes a robust disaster recovery framework tailored for SMEs, designed to minimize downtime and data loss in the event of a system failure, cyberattack, or natural disaster. The framework integrates advanced cloud technologies to create a cost-effective, scalable solution that aligns with the resource constraints of SMEs while providing enterprise-grade resilience. Key components of the disaster recovery framework include cloud-based data replication, automated backup solutions, and geo-redundant storage to ensure that data is continuously available and recoverable. This model employs real-time data synchronization and incremental backups to minimize Recovery Point Objectives (RPO), ensuring that critical data is not lost during an unexpected outage. Additionally, the framework leverages automated failover mechanisms to achieve low Recovery Time Objectives (RTO), allowing businesses to restore operations quickly after an interruption. Cloud orchestration tools such as AWS Elastic Disaster Recovery or Azure Site Recovery are utilized to automate disaster recovery processes, reducing manual intervention and improving the speed of recovery. The framework also incorporates regular testing of disaster recovery plans, using simulation tools to identify weaknesses and optimize response times. For SMEs, cost-effectiveness and ease of management are crucial. The framework emphasizes a pay-as-you-go model for cloud resources, allowing businesses to scale their disaster recovery solutions as they grow without incurring excessive upfront costs. By providing continuous monitoring and proactive threat detection, this disaster recovery framework ensures that SMEs can maintain uninterrupted business operations on cloud platforms, thereby enhancing resilience and mitigating the financial and operational risks associated with data loss and system downtime.
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Xing, Ruben, Zhongxian Wang, James Yao, and Yanli Zhang. "Lessons of Disaster Recovery Learned for Information Systems Management in US Higher Education." International Journal of Information Systems for Crisis Response and Management 2, no. 2 (2010): 19–34. http://dx.doi.org/10.4018/jiscrm.2010040102.
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Most U.S. universities planned and prepared their disaster recovery (DR) and business continuity strategies for their Information Systems after the September 11th attack on the United States. The devastating hurricanes and the most recent catastrophic earthquakes caused unprecedented damage for many campuses within a decade. Some of their plans worked and some of them failed; however, with these lessons learned, Information Systems Management for U.S. higher education must be reexamined, re-planned and redesigned, including DR strategies and procedures. It is equally important that the curriculum of Management Information Systems be updated along with updated DR concerns for all educators in U.S. universities.
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Hayashi, Haruo, Kimiro Meguro, and Keiko Tamura. "“Urban Resilience” for Mega Earthquake Disasters Part 2." Journal of Disaster Research 12, no. 1 (2017): 5. http://dx.doi.org/10.20965/jdr.2017.p0005.
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Based on the lessons from the 2011 Great East Japan Earthquake Disaster, the Ministry of Education, Culture, Sports, Science and Technology has launched “Special Project for Reducing Vulnerability for Urban Mega Earthquake Disasters (2012–2016)” with the aim of reducing the damages caused by the urban earthquake disasters such as the projected earthquake that directly hits Tokyo area and the Tokai, Tonankai and Nankai Earthquakes as much as possible. This project is divided into the following three subprojects: namely, 1) “Research and Study on Evaluation of Risk and Hazard of Earthquake that Directly Hits Tokyo Area” represented by Professor Naoshi Hirata, Earthquake Research Institute, the University of Tokyo; 2) “Research and Study on Maintenance and Recovery of Functionality in Urban Infrastructures” represented by Professor Masayoshi Nakashima, Disaster Prevention Research Institute, Kyoto University; and 3) “Research and Study on Measures to Improve Urban Resilience to Earthquake Disaster” represented by Dr. Haruo Hayashi, President of the National Research Institute for Earth Science and Disaster Resilience. This special issue focuses on the findings of the subproject 3). The subproject 3) aims to develop the information communication system for supporting efficient management of emergency responses and restoration efforts and promotion of the capabilities for solution of the problems in terms of disaster, i.e. disaster management literacy, to contribute to high resilience to disaster in our society.
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Prasetio, Barlian Henryranu, Edita Rosana Widasari, Adi Setiawan, and Hanifa Maulani Ramadhan. "Village Data Backup and Disaster Recovery: A Comparative Study of Cloud Solutions with Traditional Methods." Journal of Information Technology and Computer Science 9, no. 3 (2024): 218–35. https://doi.org/10.25126/jitecs.93681.
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This study presents a comparative analysis of traditional disk-based and cloud-based Backup and Disaster Recovery (DR) approaches, focusing on the challenges inherent in existing solutions, such as high infrastructure costs, extended recovery times, and operational disruptions during software updates. Conventional disk-based systems often require periodic reboots and manual interventions, which can interrupt ongoing operations. In contrast, cloud-based solutions, particularly Asigra, offer a streamlined alternative by reducing infrastructure dependency, enhancing recovery metrics—specifically Recovery Point Objective (RPO) and Recovery Time Objective (RTO)—and minimizing maintenance downtime through agentless and incremental backups. Cloud backup provides comprehensive upgrades without the need for system reboots, thereby saving time and improving operational effectiveness. This study evaluates the proposed cloud-based approach in a village government organizational environment, analyzing its performance based on Total Cost of Ownership (TCO), RPO, and RTO. Cloud-based configurations are compared with traditional setups to assess improvements in disaster recovery procedures and data storage. Findings demonstrate that cloud-based strategies offer simpler and more efficient DR solutions, providing superior scalability, reliability, and administrative ease tailored to the unique needs of village government data management.
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Kamalakar, Reddy Ponaka. "A Scalable and Secure CI/CD Platform: High Availability and Disaster Recovery Approach." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 6, no. 3 (2020): 1–5. https://doi.org/10.5281/zenodo.14045480.
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This paper presents a scalable and secure continuous integration/continuous deployment (CI/CD) platform architecture for on-premise deployments. It highlights key features for implementing high availability (HA) and disaster recovery (DR) strategies, addressing scalability, security, and resilience. With the increasing reliance on CI/CD pipelines for rapid software delivery, ensuring that these platforms remain operational under adverse conditions, such as hardware failures or data center outages, is critical. This paper provides methodologies and best practices for achieving HA and DR in large-scale CI/CD environments.
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Matey, Preeti. "Combining Disaster Recovery, Backup Security, and Compliance: Best Practices for Encryption, RBAC, and MFA." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41891.
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In the current digital age, ensuring the security of disaster recovery (DR) systems and backup data has become a critical concern for organizations focused on safeguarding their assets and maintaining seamless business operations. This paper explores the integration of essential security practices—encryption, Role-Based Access Control (RBAC), and Multi-Factor Authentication (MFA)—into disaster recovery and backup security frameworks. These technologies work synergistically to enhance data protection, mitigate unauthorized access risks, and ensure regulatory compliance. Encryption protects data both during transmission and storage, RBAC limits access based on user roles, and MFA adds an additional layer of defense by requiring multiple forms of verification before granting access. By leveraging these strategies, organizations can build a more resilient, secure, and compliant disaster recovery plan that meets evolving cyber threats and regulatory standards such as GDPR, HIPAA, and PCI-DSS. This study also examines the challenges organizations face in implementing these security measures and offers actionable insights to help establish a robust backup and recovery strategy. Ultimately, the research serves as a comprehensive guide for businesses seeking to strengthen their disaster recovery systems through encryption, access controls, and authentication mechanisms. Keywords: Disaster Recovery, Backup Security, Encryption, Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), Compliance, Cybersecurity, Business Continuity, Data Protection, GDPR, HIPAA, PCI-DSS, Regulatory Compliance, Security Best Practices, Backup Systems, Data Integrity, IT Security.
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Asad, Adli M. "Are unannounced drills a categorical imperative for Information Technology (IT) Systems?" International Journal of Computer Science and Information Technology Research 10, no. 3 (2022): 76–78. https://doi.org/10.5281/zenodo.7085751.
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<strong>Abstract:</strong> Enterprises are always challenged by deciding on the cost/benefit of Disaster Recovery (DR) investment. Organizations readiness to respond to threats whether it’s natural disasters, cybersecurity, or human induced is vital for its Business Continuity Program (BCP). Therefore, training/drills/exercises provide measurable assurances that critical functions/system are resilient to unplanned incidents. IT professional though have a consensus on exercising announced drills but disagree on the value of unannounced drills. This article is an attempt to describe and examine the value of unannounced drills by using the method of doubt approach by the 17th century philosopher named René Descartes to conclude the verdict. <strong>Keywords:</strong> Information Technology, IT Disaster Recovery (DR), Controls, Critical Systems, Business Continuity (BC). <strong>Title:</strong> Are unannounced drills a categorical imperative for Information Technology (IT) Systems? <strong>Author:</strong> Asad, Adli M. <strong>International Journal of Computer Science and Information Technology Research</strong> <strong>ISSN 2348-1196 (print), ISSN 2348-120X (online)</strong> <strong>Vol. 10, Issue 3, July 2022 - September 2022</strong> <strong>Page No: 76-78</strong> <strong>Research Publish Journals</strong> <strong>Website: www.researchpublish.com</strong> <strong>Published Date: 16-September-2022</strong> <strong>DOI: https://doi.org/10.5281/zenodo.7085751</strong> <strong>Paper Download Link (Source)</strong> <strong>https://www.researchpublish.com/papers/are-unannounced-drills-a-categorical-imperative-for-information-technology-it-systems</strong>
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Veeranna, Kotagi. "Enhancing Resilient Business Continuity through Disaster Recovery and Penetration Testing Strategies in a Post-Pandemic World." Recent Trends in Data Science Technology 1, no. 1 (2025): 26–32. https://doi.org/10.5281/zenodo.15186888.
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<em>The COVID-19 pandemic exposed significant vulnerabilities in organizational preparedness, especially regarding business continuity and cybersecurity resilience. As enterprises adapt to a digitally accelerated and highly volatile environment, robust disaster recovery (DR) planning and proactive penetration testing have emerged as critical pillars of continuity and operational assurance. This study explores the strategic integration of DR and cybersecurity testing in post-pandemic enterprise environments, emphasizing their role in mitigating disruptions, ensuring data protection, and reinforcing stakeholder confidence. Through a comprehensive analysis of recent practices, frameworks, and case studies, the research highlights how disaster recovery plans must evolve from static documentation to intelligent, adaptive systems, while penetration testing must transition from periodic exercises to continuous, automated threat simulations. The findings suggest that organizations that integrate these approaches holistically experience reduced downtime, stronger incident response capabilities, and greater organizational resilience in the face of future crises.</em>
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Venkata, Raman Immidisetti. "NetApp Cloud Volumes ONTAP (CVO) for Disaster Recovery as a Service (DRaaS) and Cloud File Storage Migration: A Comprehensive Analysis." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 7, no. 2 (2021): 1–6. https://doi.org/10.5281/zenodo.15026697.
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As organizations increasingly adopt cloud-based infrastructure, the transition from traditional disaster recovery (DR) solutions to Disaster Recovery as a Service (DRaaS) has become a strategic imperative. NetApp Cloud Volumes ONTAP (CVO) has emerged as a prominent DRaaS and cloud storage solution, offering seamless integration with public cloud providers, enhanced data protection, and optimized cost efficiency. This paper examines the role of NetApp CVO in disaster recovery, elucidating key features such as automated data replication, high availability, storage efficiency, and compliance enforcement. Furthermore, it investigates the utilization of CVO for cloud-based file storage migration, emphasizing its capacity to facilitate secure, scalable, and cost-effective transitions from on-premises storage infrastructure. The discussion underscores the significance of hybrid cloud adaptability, data security, and operational flexibility in contemporary IT environments, positioning NetApp CVO as a robust solution for enterprises seeking resilience, agility, and cost optimization in their cloud transformation initiatives.
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Venkata, Raman Immidisetti. "Seamless VMware Workload Migration to Microsoft Azure Using Zerto: A Hypervisor-Based Replication Approach." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 8, no. 5 (2022): 1–6. https://doi.org/10.5281/zenodo.14944996.
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The adoption of hybrid cloud architectures is strategic for enterprises integrating on-premises VMware environments with Microsoft Azure for enhanced scalability, flexibility, and disaster recovery (DR). Organizations face challenges migrating workloads to different Azure regions due to conflicts between Azure Site Recovery (ASR) and Azure Migrate, which use agent-based replication. These conflicts cause operational inefficiencies, replication failures, and data inconsistencies, complicating cloud migration efforts. This study investigates Zerto as an efficient alternative for workload migration and disaster recovery in hybrid cloud environments. Unlike agent-based tools, Zerto's hypervisor-based replication eliminates the need for multiple agents, ensuring a seamless migration process. Through block-level replication, journal-based recovery, and consistency grouping, Zerto enables near-zero Recovery Point Objectives (RPOs) and minimal Recovery Time Objectives (RTOs), ensuring high data integrity and reduced downtime. The paper presents a methodology for migrating VMware workloads to Azure using Zerto, including pre-migration assessment, deployment of replication components, data synchronization, failover, and post-migration validation. A case study highlights Zerto's efficacy over agent-based solutions, demonstrating its ability to reduce complexity, mitigate migration risks, and enhance performance. By leveraging Zerto's unified disaster recovery and migration capabilities, enterprises can achieve seamless cloud transitions while maintaining business continuity, operational efficiency, and cost-effectiveness
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McConnell, Patrick. "Planning For a Pandemic." ITNOW 62, no. 2 (2020): 18–21. http://dx.doi.org/10.1093/itnow/bwaa038.
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Abstract Business continuity planning (BCP) and related IT disaster recovery planning (IT DRP) have become established, respected and important disciplines in business. However, many of the assumptions underlying BCP/DRP planning today will NOT hold in a pandemic, writes technology risk expert Dr Patrick McConnell FBCS CITP CEng.
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Murakami, Suminao, and Yoshiteru Murosaki. "Fire and Smoke Protection Measures for High-Rise Buildings." Journal of Disaster Research 6, no. 6 (2011): 629–43. http://dx.doi.org/10.20965/jdr.2011.p0629.
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Upon planning the JDR Special issue on Fire and Emergency Evacuation in a High-rise Building, an interview was held on August 15, 2011, at Laboratory of Urban Safety Planning in Chiyodaku, Tokyo. Prof. Yoshiteru Murosaki of Kwansei Gakuin University, who was involved in the recovery project of the Great Hanshin earthquake and has served as the chairman of the National Research Institute of Fire and Disaster, interviewed Dr. Suminao Murakami (JDR Editorin-chief), Honorary Director of Laboratory of Urban Safety Planning, has been involved in many disaster prevention plans as well as having experienced many disaster sites in Japan, on the theme of fire protection measures for high-rise buildings.
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Santosh, Pashikanti. "Designing Resilient Cloud Architectures: A Practical Guide to High Availability and Disaster Recovery." International Journal on Science and Technology 12, no. 2 (2021): 1–5. https://doi.org/10.5281/zenodo.14631522.
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Resilience in cloud architecture is crucial to ensuring that business-critical applications remain available and recoverable, even during major failures. This white paper offers a practical, technical guide to designing cloud systems that achieve high availability (HA) and disaster recovery (DR), emphasizing fault tolerance, scalability, and automation. It includes architecture patterns, tools, and detailed implementation strategies suitable for enterprises and industries of all sizes.
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Koo, Bon Jun, and Keun Hyung Kim. "In the era of data and service overflow, technology and policy measures for long-distance deployment of DR data centers: Focusing on Jeju Special Self-Governing Province." Jeju National University Tourism, Business, and Economic Research Institute 43, no. 1 (2023): 19–45. http://dx.doi.org/10.24907/jtir.2023.43.1.19.
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Recently, in late 2022, Disaster Recovery Data Center is recognized as important due to the disruption issue of Kakao, the Korea' s #1 SNS service provider caused by a fire at their separated operating data center. In this response; the needs of establishing the Disaster Reovery Data Center, this paper is examining the brief current status of domestic and foreign data centers and D.R. data centers and analyzing the related problems. Moreover, according to three requirements (environment, communication and power infrastructure) and two criteria (site level, socio-economic/manpower/government) to find the r ight location for the data center, Jeju's strengths and weaknesses were examined, and considered with the technical and policy measures for Jeju Island to encourage for the attraction of private sector's data centers/DR data centers.
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Naresh, Kumar Rapolu. "High Availability and Disaster Recovery Setup for ASE and HANA Database to Ensure Seamless and Uninterrupted Business Operations." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 7, no. 2 (2021): 1–4. https://doi.org/10.5281/zenodo.14951546.
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This paper focuses on studying the HA & DR solutions for ASE & HANA databases. From the objective system architectures, issues, and successful implementation strategies outlined in the study, this paper presents a detailed roadmap that organizations can use to ensure the continuation of business and the safeguarding of organizational data in case system failure or disaster occurs.
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Arul Mary, A., and K. Chitra. "OGSO-DR: oppositional group search optimizer based efficient disaster recovery in a cloud environment." Journal of Ambient Intelligence and Humanized Computing 10, no. 5 (2018): 1885–95. http://dx.doi.org/10.1007/s12652-018-0781-8.
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Putra, Ratu Agung Bagus Ngurah. "Strategic Recovery Plan: The Resilience of Wyndham Garden Kuta Beach Bali after Major Impacts of Covid-19 Pandemic." International Journal of Glocal Tourism 2, no. 1 (2021): 13–27. http://dx.doi.org/10.58982/injogt.v2i1.37.
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Purpose: This research aims to determine the impacts of the Covid-19 outbreak on the hotel industry in Bali, specifically at Wyndham Garden Kuta Beach Bali. It is to analyze the efforts to overcome with a Strategic Recovery Plan. Research methods: This research is an exploration research with participatory observation used to collect all of the research data. The researcher uses Business Continuity (BC) dan Disaster Recovery (DR) method as reference to understand the map of pandemic effect, determine operational variable and develop Strategic Recovery plan. Findings: The hotel management have formulated six phases of Strategic Recovery Plan consisting of Market Research and Business Strategy, The Top Priorities, Strategic Findings, Set Milestone, Market Segment Projection, and Work Plan. Implication: Those six phases are created to focus business operation on necessary and realistic action that can be implemented during challenging market condition effected by the long run Covid-19 pandemic.
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Araki, Noriyuki, and Hideo Imanaka. "Results of ITU-T Focus Group on Disaster Relief, Network Resilience and Recovery (FG-DR&NRR)." NTT Technical Review 12, no. 12 (2014): 50–55. http://dx.doi.org/10.53829/ntr201412gls.
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Uchechukwu, Emejeamara, Nwoduh Udochukwu, and Madu Andrew. "EFFECTIVE METHOD FOR MANAGING AUTOMATION AND MONITORING IN MULTI-CLOUD COMPUTING: PANACEA FOR MULTI-CLOUD SECURITY SNAGS." International Journal of Network Security & Its Applications (IJNSA) 12, no. 4 (2020): 39–44. https://doi.org/10.5281/zenodo.3975757.
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Multi-cloud is an advanced version of cloud computing that allows its users to utilize different cloud systems from several Cloud Service Providers (CSPs) remotely. Although it is a very efficient computing facility, threat detection, data protection, and vendor lock-in are the major security drawbacks of this infrastructure. These factors act as a catalyst in promoting serious cyber-crimes of the virtual world. Privacy and safety issues of a multi-cloud environment have been overviewed in this research paper. The objective of this research is to analyze some logical automation and monitoring provisions, such as monitoring Cyber-physical Systems (CPS), home automation, automation in Big Data Infrastructure (BDI), Disaster Recovery (DR), and secret protection. The Results of this research investigation indicate that it is possible to avoid security snags of a multi-cloud interface by adopting these scientific solutions methodically.
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B. Davison, Christopher. "Selected leadership demographics as predictors of continuity planning." Disaster Prevention and Management 23, no. 3 (2014): 243–51. http://dx.doi.org/10.1108/dpm-08-2013-0140.
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Purpose – The purpose of this paper is to present the findings that describe any correlations between leadership demographic characteristics with that of the levels of business continuity (BC) and disaster recovery (DR) planning by surveying the academic department's continuity planners at two major research universities in Southern California. Design/methodology/approach – The research methodology was a quantitative method utilizing a correlational research design (logistic regression). Survey data from a self-reporting web-based survey were analyzed. Findings – Analysis of five leadership demographic characteristics and four covariates reveals one statistically significant predictor of resiliency planning. Furthermore, close to one-quarter of the academic departments were found to have no BC or DR plan. Conversely, having a budget for resiliency planning was not found to be a significant predictor of resiliency planning. Research limitations/implications – This study was specifically limited to continuity planners within two major, public, academic research institutions within Southern California. This allows for an in-depth understanding of a specific contingency planning phenomenon: geographically bounded public, research-oriented, higher education institutions. This study could provide a framework for administrative leaders in academic settings to assess their organizations’ capacity for recovery from an unexpected business disruption. This study could assist university administration in identifying personnel to lead resiliency planning within the institution. Practical implications – The research indicates that educational institutions lack in organizational resiliency planning. This study could provide a framework for administrative leaders in academic settings to assess their organizations’ capacity for recovery from an unexpected business disruption. Originality/value – While there is much literature on the separate topics of leadership in an academic environment and contingency planning, no study exists that attempts to observe any correlations between these concepts.
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Khan, Bilal Muhammad, and Muhammad Raheel. "Optimization of satellite-based communication links." PLOS One 20, no. 4 (2025): e0315388. https://doi.org/10.1371/journal.pone.0315388.
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Satellite communication (SATCOM) is crucial for global connectivity, particularly in remote far-flung areas. Typically, these links are established by connecting a Satcom Remote Terminal to a Satcom Hub Station. However, relying on a single Hub Station does not offer redundancy, leaving remote terminals isolated in case of a Hub Station failure. To provide redundancy, the remote terminals are shifted to a secondary Hub Station. However, several limitations and challenges are associated with the available methodologies for shifting of remotes to the secondary Hub Station. This research addresses the challenges associated with the implementation of redundancy/ Disaster Recovery (DR) mode in a Satcom Network to improve reliability and efficiency of Satcom links. An optimized model has been developed for Satcom Remote Modems to automatically switch to a secondary Hub Station during a primary Hub Station failure. The technique was tested in a real Satellite Communication Network, showing improved results compared to traditional methods.
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R, Kumaraguruparan. "A Study of Marxist Literary Theories and the Novel Surangam in a Socialist Realist Way." International Research Journal of Tamil 4, SPL 2 (2022): 274–88. http://dx.doi.org/10.34256/irjt22s244.
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What led Prof Prabhat Patnaik, Pope at Vatican City and Dr Raghuram Rajan to a rallying point for the recovery and sustainability of the Global Capitalism from its shivering crisis? It's Karl Marx's 'Capital' ('Das Kapital'). Literature Review of Miners' plight in Indian Literature. World's top ten mine disasters in which two happened in India - Dhanbad and Chasnala. ' Kaala Pathar' Hindi film was based on Chasnala mining disaster. Nationalisation of Indian Coal Industry thanks to Indian coal miners' continuous struggles. Introduction of Ku.Chinnappa Bharathi, Tamil writer, who authored 'Surangam' Tamil novel. How did the idea of writing 'Surangam' come to Ku. Chinnappa Bharathi's mind? Shri Bikas Chowdhury, CPI-M MP from Asansol Constituency, invited the writer to pay a visit to Dhanbad, Jharia and Asansol mines, to study the plight and living standards of the workers to attempt a novel on this theme. KuChiBha. accepted the offer. The conversation with the miners with the help of interpreters, contributed a lot to visualize the air. Plot of Surangam. The category of workers and the hierarchy of supervisors. Bikas Choudhary, Jamuna Kumari, Sakuntala Devi, Mining Munshi, Mining Sardar, Mine owner Tiwari, organised workers, drunkard-workers, Debt recovery agents, liquor shop-owner, villagers, peasants and the like. The greed of inhuman mine-owners and supervisors is portrayed the customs and cultural events of Bengalis and the tenets of humanitarian Marxist Atheism are briefed. How the novel observes the genre of Socialist Realism, with the Marxist point of view, is well-presented. The denationalisation of the Coal Industry, with the repeal of Mining Nationalisation Acts, will again unleash the exploitation of private owners in the coal industry. The case-study of ' Surangam ' to explore the livelihood of the miners in non-Tamil speaking areas to write a novel in Tamil, for being translated further into Bengali and Hindi, is a laudable attempt and a great literary venture.
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Shinoda, Sumio. "Special Issue on Infectious Disease Control of Natural Disasters." Journal of Disaster Research 7, no. 6 (2012): 739–40. http://dx.doi.org/10.20965/jdr.2012.p0739.
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Large natural disasters such as earthquakes, tsunamis and typhoons often produce many refugees, forcing them to live inconvenient and unsanitary lives in temporary places of refuge. Even if they can remain in their homes, hygienic conditions may be worsened by interrupted electricity, water, fuel and other lifelines. Winter disasters bring more concerns, such as influenza and cold weather, while those in summer raise problems of diarrhea-related disease. Two of Japan’s largest recent earthquakes, the 1995 Great Hanshin-Awaji Earthquake and the 2011 Great East Japan Earthquake, did not cause large infectious disease outbreaks thanks to proper countermeasures. Even so, such outbreaks frequently occur worldwide. One recent example is the 2010 cholera outbreak following an earthquake in Haiti. In an added complication, it is thought that the outbreak was from a foreign source – an Asian epidemic strain of cholera. Many refugees have resulted from ethnic and tribal conflicts in Africa. In a visit to Kenya as a short-term expert for the Japan International Cooperation Agency (JICA), I observed a cholera outbreak in a Somali refugee camp. Health facilities at the camp were extremely bad, with the occurrence of drought adding to the suffering in these regions. Many developing countries in tropical and subtropical regions have problems of insufficient food supplies due to recent population growth. Disasters breaking out in these areas leave an unwelcome legacy of undernourishment and malnutrition, especially among young children. In this situation, the number of fatalities due to diarrhea is very high. Such fatalities are fewer in developed countries, but diarrhea in children under 5 years of age in developing countries remains a serious problem. World Health Organization (WHO) statistics published this year show that the global number of deaths in 2010 of children under 5 was some 76 million, 10% of which suffered from diarrhea-related disease. Malaria, pneumonia, premature birth, birth asphyxia and neonatal sepsis are additional causes of these deaths. This special issue details the countermeasures taken against infectious diseases in recent large disasters. As stated above, no serious outbreaks of infection were observed in the Great East Japan Earthquake, but damage to a local atomic power plant was extensive, as reported by the mass media. In addition to refugees from the earthquake and tsunami, many residents near the atomic power plant were forced to move out of their homes and towns because of the possible release of radiation, even though their homes had not been destroyed or even damaged. The lack of serious infectious disease outbreaks were more than made up for, however, by many problems with infectious disease. The subject of infectious disease risk and public health recovery is described by Dr. Hitoshi Oshitani of Tohoku University. Another article covers communicable diseases following the Great Earthquake described by Dr. Kentaro Iwata of Kobe University. The Great Earthquake and resulting tsunami in Sumatra, Indonesia, in December 2005 left more than 2,300,000 victims. Because this happened in a tropical region, public health control, especially food sanitation, was the worst problem. Dr. Nasronudin of Airlangga University in Indonesia communicates his experiences in this situation. The 2011 Haiti earthquake also involved a tropical region. As a Central American country, Haiti has had no experience with cholera in nearly a century and faces a cholera outbreak after the earthquake. Dr. G. B. Nair a cholera specialist at the Translational Health Science and Technology Institute of India, investigated the situation in Haiti and found that the causative strain was an Asian epidemic cholera. We therefore asked Dr. Nair to write about the Haiti cholera epidemic. Global microbial culture collection facilities have many microbial stocks that, if somehow released by a disaster, would cause at least two serious problems – one of environmental pollution by pathogenic organisms triggering infectious disease and another of the loss of valuable microbial resources. This makes it vital to maintain safe, secure culture collections against disasters. Dr. Takayuki Ezaki, Gifu University, describes this subject. Finally, we thank the authors for their contributions and the reviewers for their invaluable comments.
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Romanchuk, L. D., T. P. Fedonuk, and G. O. Khant. "Radio monitoring of plant products and soils of Polesia, Zhytomyr region, during the long-term period after the disaster at the Chornobyl Nuclear Power Plant." Regulatory Mechanisms in Biosystems 8, no. 3 (2017): 444–54. http://dx.doi.org/10.15421/021770.
Full textAbstract:
The article highlights the consequences of the Chernobyl disaster. Northern Polesia has been and still remains the most polluted area. Full scale and limited economic activity is carried out on part of the contaminated territories. The zone of radioactive contamination includes half of the territory of this region, one third of the agricultural land and almost the same amount of the arable land. 9 districts, 734 towns and villages are located within the zone of radioactive contamination. In the long-term period after the disaster the situation in contaminated areas has improved and become predictable due to natural processes of recovery and implementation of countermeasures based on results of monitoring. However, until today regions of Ukrainian Polesia continue to produce agricultural products which do not meet the requirements of government regulations concerning the content of radionuclides in food and appear to present a threat to consumers. To assess the accumulation of 137Cs in plant products, we investigated the activity of these radionuclides in potatoes, vegetables, root crops and grains, and calculated the ratios of its transition from the ground to the products, which helped evaluate the intensity and amount of accumulation of radionuclides during the completion of the half-life period of 137Cs and evaluate the radiological situation in the northern regions of Polesia. The density of soil contamination with 137Cs and its specific activity in plant products grown on private plots were studied in three different districts of Zhytomyr region: Narodychi, Korosten and Ovruch. Analysis of the density of soil pollution with the 137Cs isotopes in the Northern part of Zhytomyr region in the post-disaster period shows that even 30 years after the tragedy, significant areas of arable land under certain conditions remain potentially dangerous on account of contaminated plant products. The specific activity of 137Cs in plant products grown on private plots was studied in residential places where soil contamination was detected. In particular, the list of studied crops included: potato tubers, white cabbage, fresh tomatoes, table beets, carrots, onions, beans, oat grains, corn grains. The most critical were populated areas located in zone II – village Vystupovychi of Ovruch district, village Loznytsia and village Khrystynivka of Narodychi district. In these settlements an excess of DR-2006 in plant products was noted despite the fact that an excess over the maximum permissible level of density of soil pollution was not observed. In decreasing order by the amount of CT 137Cs, we ranked crops as follows: beans > table beets > carrots > potato tubers > corn grains ˃ oats grains > white cabbage > onions > fresh tomatoes. For the population living on radioactively contaminated territories, plant products grown on private plots have been and still remain the main source of 137Cs radionuclides entering the body.