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1

Fröschle, Hans-Peter. "Rezension „Cloud Migration“." HMD Praxis der Wirtschaftsinformatik 57, no. 5 (2020): 1075–76. http://dx.doi.org/10.1365/s40702-020-00655-2.

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Cathoud de Queiroz, Priscila, Tiago Bittencourt Nazaré, and Felippe Cathoud de Queiroz. "Cloud Migration Model." International Journal of Engineering Trends and Technology 66, no. 1 (2018): 38–43. http://dx.doi.org/10.14445/22315381/ijett-v66p207.

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Vipin Kalra. "Strategic Pathways to Cloud Migration: Insights from Genesys Cloud Transformations." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1522–30. https://doi.org/10.32628/cseit241061193.

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Cloud migration represents a transformative shift in contact center operations, yet its success hinges on strategic planning and precise execution. This article synthesizes insights from real-world implementations and empirical research to explore critical factors for successful migration to Genesys Cloud. Key success drivers include robust pre-migration evaluation, architectural strategies, security frameworks, and operational governance. Using case studies and industry data, the study demonstrates how phased migration strategies, strong governance structures, and a focus on compliance enable
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Aslam, Mubeen, Lukman bin AB Rahim, Junzo Watada, and Manzoor Hashmani. "Clustering-Based Cloud Migration Strategies." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 3 (2018): 295–305. http://dx.doi.org/10.20965/jaciii.2018.p0295.

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The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. The extent of assistance required to be provided to organizations while working on migration strategies was investigated for each cloud service model and concrete clusters were formed. This investigation is intended to aid cloud consumers in selecting their required cloud migration strategy. It is not easy for businessmen to select the most appropriate cloud migration strategy, and therefore, we proposed a suitable model to solve this problem. This model comprises a web of m
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Li, Shiyong, Yue Zhang, and Wei Sun. "Optimal Resource Allocation Model and Algorithm for Elastic Enterprise Applications Migration to the Cloud." Mathematics 7, no. 10 (2019): 909. http://dx.doi.org/10.3390/math7100909.

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Cloud computing has been widely used in various industries in recent years. However, when migrating enterprise applications into the cloud, enterprise users face a problem with minimizing migration time and cloud resource providers face a dilemma of resource allocation problem, with the objective of maximizing the migration utility of enterprise users while minimizing the cost of cloud resource providers. In order to achieve them, this paper considered cloud migration objectives including cloud migration time, cloud migration utility, and cloud data center cost, and proposed a resource allocat
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Satyadeepak, Bollineni. "Evaluating cloud migration approaches and strategies for successful cloud migration projects for transitioning legacy systems." European Journal of Advances in Engineering and Technology 6, no. 2 (2019): 105–10. https://doi.org/10.5281/zenodo.13789572.

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A cloud migration strategy is the process of transforming existing on-premises applications or on-premise servers to the cloud [1]. Migrating legacy systems to the cloud presents significant challenges and benefits, leading to extensive academic research and numerous industrial application [2]. With more than 70% of businesses utilizing two or more public cloud platforms, a carefully crafted migration plan will help reduce risks and ensure a smooth transition to the cloud [1]. In today's digital age, harnessing the power of the cloud has become essential for success as more organizations migra
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Amin, Ruhul, and Siddhartha Vadlamudi. "Opportunities and Challenges of Data Migration in Cloud." Engineering International 9, no. 1 (2021): 41–50. http://dx.doi.org/10.18034/ei.v9i1.529.

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Cloud data migration is the process of moving data, localhost applications, services, and data to the distributed cloud processing framework. The success of this data migration measure is relying upon a few viewpoints like planning and impact analysis of existing enterprise systems. Quite possibly the most widely recognized process is moving locally stored data in a public cloud computing environment. Cloud migration comes along with both challenges and advantages, so there are different academic research and technical applications on data migration to the cloud that will be discussed througho
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Parag, Bhardwaj. "Cloud Migration Roadmaps a Practical Approach Using the Cloud Adoption Framework." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 7, no. 6 (2021): 1–9. https://doi.org/10.5281/zenodo.14632792.

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Cloud migration has become a critical strategy for organizations seeking to optimize their IT infrastructure, enhance scalability, and reduce operational costs. However, transitioning to the cloud can be a complex and resource-intensive process, requiring careful planning and strategic alignment with business goals. This paper explores the practical application of the Cloud Adoption Framework (CAF) in developing effective cloud migration roadmaps. The CAF provides a structured methodology that guides organizations through the phases of migration, from assessment and planning to execution and o
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Chaudhary, Bharat Singh. "INSIGHTS INTO CLOUD MIGRATION: (MIGRATION TO AZURE/AWS)." INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY 16, no. 1 (2025): 1339–49. https://doi.org/10.34218/ijcet_16_01_101.

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E, Dr Shamsudeen. "Migration Issues in Cloud Computing." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 2984–87. http://dx.doi.org/10.22214/ijraset.2021.37845.

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Abstract: Cloud computing rules in the new digital transformation world and gets wide acceptance in the field of business. The cloud can solve many problems like scalability of the business, flexibility of the business, cost and performance that may come across while running an enterprise. In fact, by digital transformation, fixed costs may get reduced, a more flexible allocation of resources is possible, faster development of the enterprise is resulted, worldwide reach is through the cloud highly appreciable, a safer change control process, and faster time-to-market with objectively better pr
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Madathala, Harikrishna, Srinivasa Rao Thumala, Balaji Barmavat, and Karey Krupa Satya Prakash. "Functional Consideration in Cloud Migration." Eduzone : international peer reviewed/refereed academic multidisciplinary journal 13, no. 02 (2024): 154–67. http://dx.doi.org/10.56614/eiprmj.v13i2.702.

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This research paper presents a comprehensive analysis of Azure Migrate's capabilities and methodologies for physical-to-cloud migration. Through extensive examination of technical architectures, migration strategies, and performance optimization techniques, we provide insights into effective migration practices while considering security, compliance, and operational excellence. The study incorporates real-worldimplementation data, performance metrics, and best practices gathered from enterprise-scale migrations conducted between 2022 and 2024.
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Mendonca, Nabor C. "Architectural Options for Cloud Migration." Computer 47, no. 8 (2014): 62–66. http://dx.doi.org/10.1109/mc.2014.203.

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Rana, Omer. "The Costs of Cloud Migration." IEEE Cloud Computing 1, no. 1 (2014): 62–65. http://dx.doi.org/10.1109/mcc.2014.24.

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Gouda, K. C., Dines Dwivedi, Anurag Patro, and Nagaraj Bhat. "Migration Management in Cloud Computing." International Journal of Engineering Trends and Technology 12, no. 9 (2014): 466–72. http://dx.doi.org/10.14445/22315381/ijett-v12p288.

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Rani, Anita, and Pankajdeep Kaur. "Migration Jobs in Cloud Computing." International Journal of Grid and Distributed Computing 8, no. 6 (2012): 151–60. http://dx.doi.org/10.14257/ijgdc.2015.8.6.15.

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Bharat Kumar Dokka and Er Vikhyat Gupta. "Cloud Database Migration and Modernization." International Journal for Research Publication and Seminar 16, no. 1 (2025): 326–43. https://doi.org/10.36676/jrps.v16.i1.140.

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Cloud database migration and modernization are now a priority for organizations that aim to harness the flexibility, scalability, and cost savings of cloud technology. In spite of extensive research on the topic during 2015-2024, issues still exist in migrating legacy databases in an efficient manner, with security, performance optimization, and regulatory compliance being the major issues. The research has discussed various migration approaches such as lift-and-shift, re-platforming, and re-architecting each with a set of trade-offs. Although the cloud-native databases provide elasticity and
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Muhammad, Shoaib, Muhammad Nabeel Mustafa Syed, and Shabhi Ul Hasan Naqvi Syed. "Techniques of migration in live virtual machine and its challenges." i-manager's Journal on Computer Science 9, no. 4 (2022): 31. http://dx.doi.org/10.26634/jcom.9.4.18540.

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Cloud computing is the on-demand availability of computer system resources. Most technology industries are moving to the cloud. Cloud structures can be costly for users. Virtualization is used in cloud computing that helps the cloud at a low cost. Migrating virtual machines (VMs) helps to manage computation. Migration of virtual machines is a core feature of virtualization. The technique of migrating a running virtual machine from one physical host to another with minimal downtime is called "live virtual machine migration." This paper discusses the migration technique, i.e., migration before a
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Maniah, Maniah, Benfano Soewito, Ford Lumban Gaol, and Edi Abdurachman. "Risk Assessment for Logistics Applications in Cloud Migration." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 16, no. 3 (2022): 325. http://dx.doi.org/10.22146/ijccs.74567.

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The increase in the number of cloud data centers is due to an increase in the number of companies migrating to cloud computing. There are many advantages that companies get when migrating to the cloud, but there are also many disadvantages. Multitenancy security and privacy are important challenges for cloud migration users. This study proposes a way to assess the risks that may arise in the cloud migration process for logistics business applications. The research method used is semi-quantitative with a 3-phase approach, namely before migration, during migration, and after migration by conside
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Kyriakou, Niki, Zoi Lachana, Dimitrios N. Skoutas, Charalampos Skianis, and Yannis Charalabidis. "Achieving Seamless Migration to Private-Cloud Infrastructure for Multi-Campus Universities." International Journal on Cloud Computing: Services and Architecture 13, no. 2 (2023): 25–38. http://dx.doi.org/10.5121/ijccsa.2023.13202.

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Maintaining IT infrastructure is a major challenge for multi-campus universities. The difficulties they face include inflexibility, inefficiency, outdated technology, and redundant resources, all of which negatively impact the quality of services provided to students, faculty, and researchers. Consequently, there is a growing need for a more agile, efficient, and cost-effective solution that can cater to the everchanging IT service demands of these institutions. Universities can boost their agility, scalability, and cost-effectiveness while enhancing service quality by utilizing cloud services
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Wan, Zhitao, Ping Wang, Lihua Duan, Fan Jing Meng, and Jing Min Xu. "Graph Similarity based Cloud Migration Service Composition Pattern Discovery." International Journal of Web Services Research 12, no. 2 (2015): 26–46. http://dx.doi.org/10.4018/ijwsr.2015040102.

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The demands of migrating on-premises complex enterprise applications to cloud dramatically increase with the wide adoption of cloud computing. A recent research validates the possibility of combining multiple proprietary migration services offered by different vendors together to complete cloud migration. Pattern based service composition has been proven as an appealing approach to accelerate the service composition and ensure the qualities in the Service Oriented Architecture (SOA) domain and can be applied to the cloud migration service composition theoretically. However, current pattern dis
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Hasan, Waqas. "Virtual Machine Migration in Cloud Computing." Oriental journal of computer science and technology 14, no. 010203 (2022): 46–51. http://dx.doi.org/10.13005/ojcst14.010203.06.

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Cloud computing provides multiple services to users through the internet and these services include cloud storage, applications, servers, security and large network access. Virtual Machine allows the user to emulate multiple operating systems on a single computer; with the help of virtual machine migration users can transfer operating system instances from one computer to multiple computer machines. In this paper we will be discussing VM migration in cloud and also I will explain the whole procedure of VM migration. The two methods through which we can perform VM migration are Live VM migratio
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Hasan, Waqas. "A Survey on Virtual Machine Migration in Cloud Computing." International Journal of Scientific & Engineering Research 13, no. 03 (2022): 648–53. http://dx.doi.org/10.14299/ijser.2022.03.03.

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Cloud computing provides multiple services to users through the internet and these services include cloud storage, applications, servers, security and large network access. Virtual Machine allows the user to emulate multiple operating systems on a single computer; with the help of virtual machine migration users can transfer operating system instances from one computer to multiple computer machines. In this paper we will be discussing VM migration in cloud and also I will explain the whole procedure of VM migration. The two methods through which we can perform VM migration are Live VM migratio
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Sourav, Kumar Upadhyay, and Prakash Kumar Dr. "The cloud data migration idea includes data warehouses that deal with flat files from many sources and are used for data analysis and validation." International Journal of Innovative Science and Research Technology 7, no. 8 (2022): 45–49. https://doi.org/10.5281/zenodo.7005599.

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The cloud data migration idea includes data warehouses that deal with flat files from many sources and are used for data analysis and validation. In this paper, we describe about Data warehouse and its types, Migration types, Cause and consideration of data migration in cloud and Effect and possible risks Data Migration Cloud.
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Damodarrao Thakkalapelli. "Cost Analysis of Cloud Migration for Small Businesses." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 4778–84. http://dx.doi.org/10.52783/tjjpt.v44.i4.1789.

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In this comprehensive research article, we delve into the intricate world of cloud migration for small businesses. Cloud migration has become a pivotal strategy for businesses of all sizes, offering flexibility, scalability, and cost-efficiency. This article conducts a thorough cost analysis of cloud migration, exploring its benefits, challenges, methodologies, results, and discussions. By the end, you'll have a deep understanding of how small businesses can leverage cloud technology while keeping their budget in check. The transformative power of cloud migration is reshaping the competitive l
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Upadhyay, Darshan P., and Prashant V. Chauhan. "Review: Virtual Machine Migration Techniques in Cloud Computing." International Journal of Advances in Engineering and Management 7, no. 3 (2025): 724–28. https://doi.org/10.35629/5252-0703724728.

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Virtual Machine (VM) migration is a fundamental aspect of cloud computing infrastructure management, enabling efficient resource utilization, load balancing, fault tolerance, and high availability. The process of moving a running VM from one physical host to another, with minimal disruption to the services, is crucial for the dynamic allocation of resources in cloud environments. This paper explores the various techniques used in VM migration, analyzing their advantages, limitations, and suitability for different cloud computing scenarios. The study covers precopy and post-copy migration metho
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Wen, Weiwei, Chenglei Zhang, and Qin Ye. "Beyond Barriers: Constructing the Cloud Migration Complexity Index for China’s Digital Transformation." Journal of Theoretical and Applied Electronic Commerce Research 19, no. 3 (2024): 2239–68. http://dx.doi.org/10.3390/jtaer19030109.

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In the digital era, cloud computing stands as a pivotal tool in the transformative journey of enterprises, with China’s tech landscape serving as a prime exemplar. However, when enterprises embrace cloud computing, they face complex hurdles, mainly technical ones. To understand how the complexity of cloud migration affects their digital transformation, our research meticulously constructed business process models for business deployment in both non-cloud and cloud contexts, spanning the IaaS, PaaS, and SaaS levels. By harnessing China’s public cloud market data, we constructed the Cloud Migrat
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Srivastava, Ankit. "Data Migration and security in cloud." International Scientific Journal of Engineering and Management 03, no. 12 (2024): 1–6. https://doi.org/10.55041/isjem0043.

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Data migration and security in the cloud" refers to the process of transferring data from an on-premises system to a cloud environment while prioritizing security measures to protect sensitive information during transit and once stored in the cloud, including implementing strong access controls, encryption, and regular monitoring to prevent data breaches and ensure compliance with relevant regulations. In this time of digital evolution, cloud migration and its security have become essential topics that cannot be avoided. With more companies turning to cloud services for support, the demand for
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Abhiram, Reddy Peddireddy. "Streamlining Cloud Migration through DevOps Integration." European Journal of Advances in Engineering and Technology 10, no. 1 (2023): 97. https://doi.org/10.5281/zenodo.13319154.

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In modern digital era, todays businesses are increasingly dependent, on adaptable and flexible infrastructure for their applications and services. While cloud computing offers flexibility and resources on demand managing cloud infrastructure can be intricate often necessitating actions and specialized knowledge. This study explores how integrating GitHub Actions, Terraform, Kubernetes and AWS cloud services can greatly enhance infrastructure management. GitHub Actions automates software processes such as provisioning infrastructure and deploying code. Terraform ensures repeatable management of
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Kumar C, Yashwanth. "Review of Cloud Migration Strategies: Exploring Advantages, Challenges and Cost Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35549.

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Cloud migration has emerged as a strategic im- perative for organizations seeking to leverage the scalability, flexibility, and cost efficiencies offered by cloud computing. This paper presents a comprehensive survey of organizational cloud migration strategies, focusing on the advantages, challenges, and cost analysis associated with this transformative process. The study begins by elucidating the conceptual framework of cloud migration, delineating its fundamental principles and terminolo- gies. Subsequently, it delves into the myriad advantages that com- pel organizations to migrate from on
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Zalieckaitė, Laima, Viktorija Kazakevičiūtė, and Vilma Kalinovienė. "Migracijos į debesų kompiuterijos aplinką modelis." Management Theory and Studies for Rural Business and Infrastructure Development 37, no. 2 (2015): 331–44. http://dx.doi.org/10.15544/mts.2015.30.

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The paper examines one of cloud computing (CC) issues that is the migration process to the cloud computing environment. The purpose of the paper is to create a cloud computing migration model through the analysis of organization's information resource migration process.The paperuses scientific literature analysis and synthesis, proposes visualization and modeling methods, analysis of the factors and criteria that determine the content of the stages of the migration process. Global information technology (IT) research and IT consulting company studies and experience show that the volume of clou
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Researcher. "CLOUD ADAPTATION: NAVIGATING THE MIGRATION LANDSCAPE." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 874–81. https://doi.org/10.5281/zenodo.13929366.

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This article explores the accelerating trend of organizations transitioning from traditional datacenter architectures to cloud-based solutions, driven by the expanding global cloud computing market and the need for flexible, scalable IT infrastructure. It examines key considerations for cloud migration, including workload characteristics, regulatory compliance, cost optimization, performance requirements, security considerations, and existing IT infrastructure. The article delves into critical aspects such as cloud security, data compliance, and cost and performance optimization, providing ins
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Researcher. "AUTOMATED DATA MIGRATION IN CLOUD ENVIRONMENTS: CHALLENGES AND SOLUTIONS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 262–74. https://doi.org/10.5281/zenodo.14065654.

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This article presents a comprehensive analysis of the challenges and solutions associated with automated data migration in cloud environments, addressing the critical needs of modern enterprise digital transformation. Through extensive examination of industry practices, emerging technologies, and case studies, we identify key challenges including data integrity preservation, downtime minimization, and business continuity maintenance. While many organizations are adopting cloud-first strategies, successful migration remains a significant challenge, with 40% of projects exceeding planned downtim
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Piyush, Bipinkumar Desai, and Siddharth. "Cloud Data Migration Strategies: Challenges and Best Practices." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2025): 3691–715. https://doi.org/10.5281/zenodo.14836682.

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Cloud data migration is a critical component in modernizing IT infrastructure, enabling organizations to leverage the benefits of cloud technologies, including scalability, flexibility, and cost-efficiency. However, the process of moving data from on-premise systems or legacy platforms to cloud environments is fraught with challenges that can impact both the success and the efficiency of the migration. These challenges include data security and privacy concerns, data integrity issues, compatibility between old and new systems, and the potential for downtime during the migration process. To add
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Agboola, Oluwademilade Aderemi, Samuel Owoade, Abraham Ayodeji Abayomi, Ejielo Ogbuefi, Toluwase Peter Gbenle, and Chisom Elizabeth Alozie. "Systematic review of cloud data migration techniques and best practices for seamless platform integration in enterprise analytics." International Journal of Social Science Exceptional Research 1, no. 1 (2022): 263–69. https://doi.org/10.54660/ijsser.2022.1.1.263-269.

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Cloud data migration has become a foundational pillar in enterprise digital transformation, particularly as organizations seek to leverage cloud-based analytics platforms for real-time decision-making and operational agility. This systematic review explores the underlying models, migration types, tools, and integration strategies essential for seamless data transitions across cloud environments. Drawing from empirical case studies and scholarly sources, the paper contrasts manual and automated migration techniques, assesses leading migration platforms—including AWS DMS, Azure Migrate, and Goog
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Yovanka, Diva Nuranty, Galura Muhammad Suranegara, and Endah Setyowati. "Analysis and Comparison of Server Migration Performance on Amazon Web Services and Google Cloud Platform." Journal La Multiapp 5, no. 6 (2024): 898–909. https://doi.org/10.37899/journallamultiapp.v5i6.1824.

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Cloud computing has emerged as a technology increasingly embraced by numerous enterprises to operate servers with high availability. The multi-cloud strategy is increasingly employed to manage servers across various platforms, guaranteeing service continuity despite disruptions on any single platform. This study analyzes and compares the migration performance of Amazon Web Services (AWS) and Google Cloud Platform (GCP) across two scenarios: migration in a homogeneous environment and migration in a heterogeneous environment, utilizing the metrics of migration time and downtime. According to the
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Abdel, Rahman Alzoubaidi. "Multi-Campus Universities Private-Cloud Migration Infrastructure." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 6, no. 3 (2019): 1–13. https://doi.org/10.5281/zenodo.3541707.

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Cloud Computing is an attractive research area for the last few years; and there have been a tremendous grows in the number of educational institutions all over the world who have either adopted or are considering migrating to cloud computing. However, there are many concerns and reservations about adopting conventional or public cloud based solutions. A new paradigm of cloud based solution has been proposed, namely, the private cloud based solutions, which becomes an attractive choice to educational Institutions. This paper presents the adjustment and implementation of private-based cloud sol
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Sharma, Chitra, Ashish Kumar, and Pradeep Kumar Tiwari. "Energy efficient cloud computing using secure virtual machine migration: A taxonomy." Journal of Discrete Mathematical Sciences & Cryptography 26, no. 3 (2023): 677–83. http://dx.doi.org/10.47974/jdmsc-1740.

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Numerous cloud service enterprises have launched a broad variety of cloud services. Several businesses and people use these programs on a daily basis. The efficiency of cloud service depends on efficiency of the service providers. It is also important for cloud customers to analyses and review the available cloud resources thoroughly to pick the best cloud service. Secure virtual machine placement is a big issue during the migration of virtual machines in cloud computing. Secure virtual machine migration maximizes the throughput and reliability of the system and reduces Service Level Agreement
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Zahara, Soffa, Surya Sumpeno, and Istas Pratomo. "Application level interoperability on IaaS cloud migration." Bulletin of Social Informatics Theory and Application 1, no. 2 (2017): 72–78. http://dx.doi.org/10.31763/businta.v1i2.30.

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 The increasing awareness of people about several benefits using cloud computing technology caused a lot of organizations, companies, and agencies are switching from utilizing physical infrastructure to cloud infrastructure, especially IaaS. Considering the strong market enthusiastic about cloud computing, cloud companies were racing competitions offer the best products with various advantages. In the process of utilizing cloud computing technology there are circumstances in which the company wants to move its infrastructure to other cloud providers caused by various
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Gagandeep, Kaur. "A REVIEW PAPER ON DATA MIGRATION FROM PRIVATE CLOUD TO PUBLIC CLOUD USING STEGNOGRAPHY AND CRYPTOGRAPHY." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 8, no. 7 (2019): 99–104. https://doi.org/10.5281/zenodo.3339311.

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Cloud computing has recently became a widely discussed topic in the IT industry. More and more organizations consider using the Cloud, because it enables an easy and cost efficient way of hosting applications, with dynamic scaling and geographical distribution possibilities. Still, it is not clear how and when cloud computing should be used. Existing application are often written in a way that does not really fit a cloud environment well. Also, certain quality attributes (e.g. performance, security or portability) can be affected. More studies are needed on how existing systems should be plugg
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Bhanu Phanindra Babu Gogula. "Strategic Migration of Adobe Experience Manager : A Comprehensive Framework for On-Premise to Cloud Transition." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 39–52. http://dx.doi.org/10.32628/cseit241051089.

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This article examines the strategic migration of Adobe Experience Manager (AEM) from on-premise environments to cloud platforms, addressing the growing demand for scalable and efficient content management solutions in the digital landscape. Through a comprehensive analysis of migration processes, this research presents a systematic framework for organizations undertaking AEM cloud transitions. The article investigates key components of migration, including code refactoring, configuration adjustments, content transfer strategies, and environment adaptation. Utilizing a mixed-method approach, in
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Tuli, Krishan. "A Systematic Review of Strategies and Methods for Cloud Migration." International Journal of Advance Research and Innovation 5, no. 2 (2017): 45–50. http://dx.doi.org/10.51976/ijari.521708.

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By leveraging cloud services, organizations can arrange their software systems over a pool of resources. However, organizations heavily depend on their business-critical systems, which have been developed more than long period. These inheritance applications are usually deployed on-premise. In recent years, research in cloud migration has been carried out. However, there is no derivative study to consolidate this research. This paper aims to identify, taxonomically catalog and methodically compare existing research on cloud migration. By analyzing the research achievements, we split the presen
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Venkata, Raman Immidisetti. "Dr. Migrate: An AI-Driven Framework for Optimized VMware-to-Azure Cloud Migration." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 6 (2024): 1–8. https://doi.org/10.5281/zenodo.15054589.

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Cloud migration presents several challenges, including complex dependency mapping, cost optimization, and risk mitigation. Dr. Migrate is an AI-driven migration tool that automates these processes to streamline transitions from on-premises environments to Microsoft Azure. This paper explores Dr. Migrate’s architecture, methodology, and role in structured cloud migration planning and execution. The tool facilitates application dependency mapping, applies the Six R migration strategy for workload classification, and organizes wave-based phased migration planning. Additionally, it conducts
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Khot, Purva. "Cloud Migration with Google Cloud Storage and AWS (S3 Service)." International Journal for Research in Applied Science and Engineering Technology 8, no. 10 (2020): 555–58. http://dx.doi.org/10.22214/ijraset.2020.31953.

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44

Narantuya, Jargalsaikhan, Hannie Zang, and Hyuk Lim. "Service-Aware Cloud-to-Cloud Migration of Multiple Virtual Machines." IEEE Access 6 (2018): 76663–72. http://dx.doi.org/10.1109/access.2018.2882651.

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45

Immaneni, Jayaram, and Muneer Salamkar. "Cloud Migration for Fintech: How Kubernetes Enables Multi-Cloud Success." International Journal of Emerging Trends in Computer Science and Information Technology 1, no. 1 (2020): 17–28. https://doi.org/10.63282/3050-9246.ijetcsit-v1i3p103.

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46

Raja, Venkata Sandeep Reddy Davu. "Zero-Downtime Cloud Migration in Healthcare: Ensuring Uninterrupted Patient Care and Data Security." European Journal of Advances in Engineering and Technology 6, no. 8 (2019): 87–94. https://doi.org/10.5281/zenodo.13789684.

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Cloud computing is replacing on-premises IT infrastructure in the healthcare business due to scalability issues and rising data volumes. This study discusses zero-downtime cloud migration in healthcare and how to secure data while maintaining patient care. Zero-downtime migration prevents clinical workflow and patient outcomes interruptions. This comprehensive healthcare cloud migration guide highlights improved disaster recovery, economic efficiency, and flexibility. In the planning phase, the study focuses on assessment, preparedness, strategic planning, and risk assessment. These migration
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47

Researcher. "EVALUATING CLOUD MIGRATION SECURITY RISKS: DEVELOPMENT AND VALIDATION OF AN ENTERPRISE-LEVEL ASSESSMENT FRAMEWORK." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 836–53. https://doi.org/10.5281/zenodo.14045253.

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This article presents a comprehensive risk assessment framework for organizations transitioning from traditional data centers to cloud environments, addressing the critical security challenges inherent in cloud migration. Through a mixed-method approach combining systematic literature review, expert interviews (n=45), and multiple case studies across diverse industries, we develop and validate a structured framework for evaluating and mitigating security risks in cloud migration initiatives. The framework encompasses four key dimensions: data security, technical infrastructure, operational con
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48

THORAT, RAJAN AJABRAO, and Mr S. B. Waghole. "Exploring the Applications and Challenges of Cloud Computing: A Study at Clevator Infotech Pvt. Ltd.." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem39655.

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This study explores the functions, services, and strategies of Clevator Infotech Pvt. Ltd., a leader in cloud computing solutions. The research focuses on the company's efforts to provide innovative technology solutions, addressing both the applications and challenges of cloud computing. Key areas include cloud migration, security concerns, hybrid cloud solutions, and cost management. The findings highlight the benefits of scalability, accessibility, and flexibility, while addressing challenges like vendor lock-in, limited control, and data security. Keywords: Cloud Computing, Cloud Migration,
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Govindasamy, C., and J. Venkatesh. "Data Center Management-Cloud Migration Techniques." Asian Journal of Research in Business Economics and Management 7, no. 10 (2017): 1. http://dx.doi.org/10.5958/2249-7307.2017.00174.8.

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50

Müller, Marion. "Trend zur Cloud-Migration hält an." Die Aktiengesellschaft 65, no. 4 (2020): r45—r46. http://dx.doi.org/10.9785/ag-2020-650418.

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