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Journal articles on the topic 'Multi-cloud computing Architecture'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Lee, Woosik, Eun Suk Suh, Woo Young Kwak, and Hoon Han. "Comparative Analysis of 5G Mobile Communication Network Architectures." Applied Sciences 10, no. 7 (2020): 2478. http://dx.doi.org/10.3390/app10072478.

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Mobile communication technology is evolving from 4G to 5G. Compared to previous generations, 5G has the capability to implement latency-critical services, such as autonomous driving, real-time AI on handheld devices and remote drone control. Multi-access Edge Computing is one of the key technologies of 5G in guaranteeing ultra-low latency aimed to support latency critical services by distributing centralized computing resources to networks edges closer to users. However, due to its high granularity of computing resources, Multi-access Edge Computing has an architectural vulnerability in that i

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Satyanarayan Kanungo and Saumya Sarangi. "Quantum computing integration with multi-cloud architectures: enhancing computational efficiency and security in advanced cloud environments." World Journal of Advanced Engineering Technology and Sciences 12, no. 2 (2024): 564–74. http://dx.doi.org/10.30574/wjaets.2024.12.2.0319.

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The objective of this research is to explore the integration of quantum computing with multi-cloud architectures, aiming to enhance computational efficiency and security in advanced cloud environments. The study seeks to identify the potential benefits and challenges of incorporating quantum computing capabilities within a multi-cloud framework and to evaluate the impact on performance and security metrics. The research employs a hybrid methodological approach, combining both theoretical analysis and practical implementation. Initially, a detailed literature review is conducted to understand t

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Munde, Amit V., and Dr Pranjali P. Deshmukh. "Multi Cloud Data Hosting with SIC Architecture." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 1830–33. http://dx.doi.org/10.22214/ijraset.2022.40999.

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Abstract: Data hosting on cloud decreases cost of IT maintenance and data reliability get enhance. Nowadays, customers can store their data on single cloud, which has some drawbacks. First is vendor lock in problem and second is security on cloud. The solution to this problem is to store the data on different cloud server without redundancy using encryption algorithm. Customers do not want to lose their sensitive data on cloud. Another issue of cloud computing is data thievery should be overcome to supply higher service. Multi-cloud environment has ability to scale back security risks. To avoi

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Zhurylo, Oleh, and Oleksii Liashenko. "Architecture and iot security systems based on fog computing." INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, no. 1 (27) (July 2, 2024): 54–66. http://dx.doi.org/10.30837/itssi.2024.27.054.

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The subject of the study is is the security architecture of the Internet of Things (IoT) based on fog computing, which allows providing efficient and secure services for many IoT users. The goal is to investigate the security architecture for IoT systems based on fog computing. To achieve the goal, the following tasks were solved: the concept of fog computing is proposed, its architecture is considered and a comparative analysis of fog and cloud computing architectures is made; the principles of designing and implementing the architecture of a fog computing system are outlined; multi-level sec

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Mamidi, Sundeep Reddy. "Securing Multi-Cloud Architectures: A Machine Learning Perspective." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 2, no. 1 (2024): 233–47. http://dx.doi.org/10.60087/jaigs.v2i1.160.

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Multi-cloud computing, the utilization of multiple cloud computing services in a single heterogeneous architecture, has gained significant traction in recent years due to its potential for enhancing flexibility, resilience, and performance. This paper provides an overview of multi-cloud computing, exploring its key concepts, advantages, challenges, and best practices. It examines the motivations behind adopting multi-cloud strategies, the various deployment models, management approaches, and emerging trends. Additionally, the paper discusses the implications of multi-cloud computing for securi

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S. Raj, Dr Jennifer. "EFFICIENT INFORMATION MAINTENANCE USING COMPUTATIONAL INTELLIGENCE IN THE MULTI-CLOUD ARCHITECTURE." Journal of Soft Computing Paradigm 2019, no. 2 (2019): 113–24. http://dx.doi.org/10.36548/jscp.2019.2.006.

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The multi cloud architecture improvises the constancy of the system associated with the cloud computing as they offer benefits such as the reducing the severity of the vendor lock in, which is the major impediment to the cloud service adoption. However the information maintenance in the multi cloud architecture is a very tedious and challenging as it inherits multitudes of complexity due to various services rendered, interfaces and technologies used. As storage is the fundamental usage of the cloud computing, the failures in the information maintenance (storage, securing, retrieval) in the tra

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Zhang, Yi, and Yi Min Su. "Research on Resource Scheduling Algorithm in Cloud Computing Data Center." Advanced Materials Research 926-930 (May 2014): 2050–53. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2050.

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In recent years, with the rapid development of Internet and virtualization technology, cloud computing, which providing users with on-demand services, has become a research hotspot. Under the environment of cloud computing, the datacenter, consisted by hardware and software, is a loosely coupled resource sharing architecture. The existing cloud computing's inadequacies are as following three aspects: 1. For lacking of real adequate and effective transaction of global bidirectional-way selection, the revenue of most of cloud resource provider is too low. 2. Since not fully considering the sched

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Baladari, Venkata. "Cloud Resiliency Engineering: Best Practices for Ensuring High Availability in Multi-Cloud Architectures." International Journal of Science and Research (IJSR) 11, no. 6 (2022): 2062–67. https://doi.org/10.21275/SR220610115023.

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Ensuring cloud resiliency through engineering is essential for maintaining high availability, fault tolerance, and disaster recovery within contemporary cloud infrastructures. As more businesses move towards multi - cloud environments, maintaining system reliability and efficiency while also controlling costs takes centre stage. This study delves into optimal strategies for bolstering cloud reliability via automated failover systems, real - time data duplication, load distribution, and self - restoring networks. The analysis focuses on strategies for disaster recovery, cost - effective resourc

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Hamdan, Norazian M., Novia Admodisastro, Hafeez Bin Osman, and Muhammad Sufri Bin Muhammad. "Semantic Interoperability in Multi-Cloud Platforms: A Reference Architecture Utilizing an Ontology-Based Approach." International Journal on Advanced Science, Engineering and Information Technology 14, no. 6 (2024): 1967–75. https://doi.org/10.18517/ijaseit.14.6.19861.

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The rapid expansion of cloud computing has necessitated the development of multi-cloud strategies, which leverage the strengths of multiple cloud service providers to mitigate risks such as vendor lock-in and enhance performance and reliability. Nevertheless, semantic interoperability remains a critical challenge in multi-cloud platforms, where diverse cloud services need to communicate and function seamlessly. Current solutions lack a unified semantic-based representation within reference architectures in multi-cloud platforms and mainly focus on the independent interoperability of a service

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Dong, Zhao Yang, and Lin Zhang. "A Comprehensive Security Strategy Applying to the Total Life Cycle of Cloud Computing Data Center." Applied Mechanics and Materials 556-562 (May 2014): 6259–61. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6259.

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Aiming at the security issues of cloud computing data center, the systematic security construction architecture of cloud computing data center is proposed. By surrounding the key aspects of security construction, such as infrastructure security, virtual security, cloud authentication and authorization, data isolation and protection, cloud platform and cloud service security, security operation maintenance, cloud computing platform migration, and disaster recovery backup, the security architecture constructs a multi-level, multi-angle tridimensional defense system in depth. It ensures the life

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Anish Agarwal. "Edge Computing and Fog Architecture: Reshaping Distributed System Boundaries." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 827–38. https://doi.org/10.30574/wjaets.2025.15.3.1004.

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Edge computing and fog architecture represent a paradigm shift in distributed systems, fundamentally transforming traditional boundaries by pushing computation and data management closer to data origins. As connected devices proliferate and generate unprecedented data volumes, these architectural approaches address inherent limitations in cloud-centric models including latency constraints, bandwidth bottlenecks, and privacy concerns. The multi-tiered edge-fog-cloud continuum creates a gradient of complementary computing resources that enables more flexible and context-aware resource allocation

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Rishi Kumar Sharma. "Multi-Tenant Architectures in Modern Cloud Computing: A Technical Deep Dive." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 307–17. https://doi.org/10.32628/cseit25111236.

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This comprehensive article explores the evolution and implementation of multi-tenant architectures in modern cloud computing environments, focusing on their role in Software-as-a-Service solutions. The article examines how these architectures enable efficient resource sharing while maintaining strict data isolation among tenants. This article demonstrates how integrating AI-driven observability frameworks and advanced security mechanisms, such as IAM and KMS, can improve scalability by 70% and reduce operational costs by 60%, offering practical solutions to modern multi-tenant architecture cha

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Tang, Jian Gang. "The Research on Cloud Computing Security Model and Countermeasures." Applied Mechanics and Materials 511-512 (February 2014): 1196–200. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.1196.

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Cloud computing is an open structure which have complexity, on-demand services, virtualization, resource pooling, rapid elasticity and multi-tenant architecture, etc. The security issues have become a bottleneck restricting the development of cloud computing. This paper analyzes the characteristics of cloud computing services, security requirements and security issues, given security strategies and a cloud computing model. It requires the use of cloud computing architecture data centers, virtualization platforms, cloud services, cloud terminal interfaces and cloud terminal to establish a secur

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Prof. Sathish and Dr Smys S. "A Novel Multi-Tier Architecture Based Mobile Cloud Computing For Enhanced Energy Utilization." Journal of ISMAC 2, no. 1 (2020): 62–72. http://dx.doi.org/10.36548/jismac.2020.1.006.

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The recent advancements in the mobile devices and the growing needs of the mobile users led to the clubbing of mobile devices with the cloud computing developing a platform coined as mobile cloud computing. The main scope of conceiving this clubbed mobile and cloud paradigm is to direct the tasks that are resource and computationally intensive to the cloud for its execution. While the execution takes place in the cloud, the resources of the mobile users that are clubbed with the cloud remains wasted until the responses are received from the cloud. These results in the excess battery drain caus

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Beckham, Olly, Gord Oldman, Julie Karrie, and Dorth Craig. "Techniques used to formulate confidential data by means of fragmentation and hybrid encryption." International research journal of management, IT and social sciences 6, no. 6 (2019): 68–86. http://dx.doi.org/10.21744/irjmis.v6n6.766.

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Cloud computing is a concept shifting in the approach how computing resources are deployed and purchased. Even though the cloud has a capable, elastic, and consistent design, several security concerns restrain customers to completely accept this novel technology and move from traditional computing to cloud computing. In the article, we aspire to present a form of a novel architectural model for offering protection to numerous cloud service providers with the intention to devise and extend security means for cloud computing. In this work, we presented a two-tier architecture for security in mul

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Park, Ji Su. "New Technologies and Applications of Edge/Fog Computing Based on Artificial Intelligence and Machine Learning." Applied Sciences 14, no. 13 (2024): 5583. http://dx.doi.org/10.3390/app14135583.

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Mukta Sharma. "Optimizing Cloud Computing Performance: A Comparative Study of Hybrid and Multi-Cloud Architectures." Journal of Sustainable Solutions 1, no. 4 (2024): 154–57. https://doi.org/10.36676/j.sust.sol.v1.i4.47.

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The scalability, flexibility, and cost-efficiency offered by cloud computing have completely transformed the way organisations and enterprises handle their IT infrastructure. There has been a lot of buzz around hybrid and multi-cloud architectures recently due to the rising demand for efficient and dependable cloud services. To prevent vendor lock-in and increase redundancy, hybrid cloud architectures mix on-premises infrastructure with public and private cloud environments, while multi-cloud makes use of numerous cloud service providers. The performance optimisation methodologies of hybrid an

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Girish Poojar. "The Evolution of Cloud Computing: Key Trends Shaping the Next Decade." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 3215–23. https://doi.org/10.32628/cseit251112340.

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This technical article examines the transformative trends shaping cloud computing adoption over the next decade. The article explores key developments, including the rise of hybrid and multi-cloud architectures, integration of artificial intelligence and machine learning capabilities, advancement of edge computing solutions, enhancement of security frameworks, and emergence of sustainable computing initiatives. The article demonstrates how these innovations are fundamentally changing how organizations approach their technology infrastructure, highlighting improvements in operational efficiency

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Martins, Joberto S. B., Tereza C. Carvalho, Rodrigo Moreira, et al. "Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration." IEEE ACCESS 11 (July 6, 2023): 1–20. https://doi.org/10.1109/ACCESS.2023.3292788.

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Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet of Vehicles and industrial IoT, among others. NS is foreseen as one of the leading enablers for 6G futuristic and highly demanding applications since it allows the optimization and customization of scarce and disputed resources among dynamic, demanding clients with highly distinct application requirements. Various standardization organizations, like 3GPP's proposal for new generation networks and state-of-the-art

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Achyut Kumar Sharma Tandra. "Revolutionizing Data Warehouse Migration with Multi-Cloud Computing." Journal of Computer Science and Technology Studies 7, no. 7 (2025): 162–71. https://doi.org/10.32996/jcsts.2025.7.7.14.

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This article explores the transformative potential of Multi-Cloud Computing (MCC) in revolutionizing data warehouse migration strategies across heterogeneous environments. MCC architectures enable seamless data movement from diverse source systems including relational databases, NoSQL repositories, and streaming platforms into modern cloud data warehouses while optimizing resources across multiple cloud providers. The article examines comprehensive aspects of MCC implementation, from initial data source integration through destination warehouse optimization, AI-driven workload management, and

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Yeo, Sang Soo, Hwa Young Jeong, and Hae Gill Choi. "Management of Cloud Computing Resources for Business, Industry, and Manufacturing System." Applied Mechanics and Materials 224 (November 2012): 174–77. http://dx.doi.org/10.4028/www.scientific.net/amm.224.174.

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Cloud computing is new trend in all area using the computer. The cloud computing provide efficient function that the user is able to access their program, system, and platforms at anytime, anywhere. Therefore, in this paper, we aim to make architecture of management process for cloud computing resources. The architecture consider the function by multi-tier layers that user can access the resources whatever they need or want to operate without no limit of location and time.

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Guleria, Pratiyush. "Data Access Layer: A Programming Paradigm on Cloud." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 3 (2013): 2341–45. http://dx.doi.org/10.24297/ijct.v11i3.1164.

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Database is important for any application and critical part of private and public cloud platforms. For compatibility with cloud computing we can follow architectures like three tier architecture in .Net Technologies such that database layer should be separate from user and business logic layers. There are some other issues like following ACID properties in databases, providing dynamic scalability by using Shared-disk Architecture and efficient multi-tenancy, elastic scalability, and database privacy.

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Venkata Srinivas Kompally. "A Microservices-Based Hybrid Cloud-Edge Architecture for Real-Time IIoT Analytics." Journal of Information Systems Engineering and Management 10, no. 16s (2025): 63–69. https://doi.org/10.52783/jisem.v10i16s.2567.

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Hybrid and multi-cloud computing have become very important for enterprises and companies managing large-scale, real-time data streaming and analytics. At the same time, edge computing has come into the limelight as a key approach to reducing latency and optimizing resource usage at the network’s outermost layer.This paper bridges the gap between scalable multi-cloud architectures and modern microservices-driven cloud-edge collaboration which solves real-time streaming, analytics, and condition monitoring. We first summarize the major limitations—such as data integration, latency, interoperabi

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LYSENKO, Sergii, and Oleh BONDARUK. "ADVANCED METHODS FOR MAINTAINING AND MANAGING THE LIFE CYCLE OF CLOUD ENVIRONMENTS: SURVEY." Computer systems and information technologies, no. 1 (March 28, 2024): 39–45. http://dx.doi.org/10.31891/csit-2024-1-5.

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Resource management is a fundamental concept in cloud computing and virtualization, encompassing the allocation, release, coordination, and monitoring of cloud resources to optimize efficiency. The complexity arises from the virtualized, heterogeneous, and multi-user nature of these resources. Effective governance is challenging due to uncertainty, large-scale infrastructures, and unpredictable user states. This paper presents a comprehensive taxonomy of resource management technologies, offering a detailed analysis of design architecture, virtualization, and cloud deployment models, along wit

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Muneeb, Muhammad, Kwang-Man Ko, and Young-Hoon Park. "A Fog Computing Architecture with Multi-Layer for Computing-Intensive IoT Applications." Applied Sciences 11, no. 24 (2021): 11585. http://dx.doi.org/10.3390/app112411585.

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The emergence of new technologies and the era of IoT which will be based on compute-intensive applications. These applications will increase the traffic volume of today’s network infrastructure and will impact more on emerging Fifth Generation (5G) system. Research is going in many details, such as how to provide automation in managing and configuring data analysis tasks over cloud and edges, and to achieve minimum latency and bandwidth consumption with optimizing task allocation. The major challenge for researchers is to push the artificial intelligence to the edge to fully discover the poten

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Naga Swetha Kattula. "Next-Gen Cloud: The future of secure and seamless cross-platform integrations." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 1302–8. https://doi.org/10.30574/wjarr.2025.26.1.1090.

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The rapid evolution of enterprise cloud computing has necessitated innovative architectural approaches to address the complexities of multi-cloud environments while maintaining robust security. This article explores transformative technologies reshaping cross-platform integrations in modern cloud ecosystems. The convergence of AI-driven API management platforms has revolutionized the governance and security aspects of cloud integration, enabling organizations to achieve unprecedented operational efficiencies. Confidential Computing represents a paradigm shift in data security, utilizing hardwa

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Vikas, Prajapati. "Cloud-Based Database Management: Architecture, Security, challenges and solutions." Journal of Global Research in Electronics and Communications (JGREC) 1, no. 1 (2025): 07–13. https://doi.org/10.5281/zenodo.14934833.

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The rapid evolution of cloud computing has revolutionized database management, offering scalable, flexible, and cost-effective solutions for managing large volumes of data. Cloud computing has transformed database management by providing scalable, flexible, and cost-effective solutions for handling massive volumes of data. Cloud-Based Database Management Systems (CDBMS) eliminate the need for extensive on-premise infrastructure, enabling organizations to focus on core operations. These systems leverage advanced architectures, including layered designs that enhance scalability, interoperability

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T, Joshva Devadas, Subbulakshmi, S, and Rajaguru R. "MAINS: MULTI-AGENT INTELLIGENT SERVICE ARCHITECTURE FOR CLOUD COMPUTING." ICTACT Journal on Soft Computing 4, no. 3 (2014): 753–59. http://dx.doi.org/10.21917/ijsc.2014.0107.

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Kikuchi, Shinji, Shelly Sachdeva, and Subhash Bhalla. "Cloud Computing Based PHR Architecture Using Multi Layers Model." Journal of Software Engineering and Applications 05, no. 11 (2012): 903–11. http://dx.doi.org/10.4236/jsea.2012.531105.

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Sachin Kumar. "The Rise of Multi-Cloud Architecture: A Technical Deep Dive." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2836–43. https://doi.org/10.32628/cseit251112305.

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Multi-cloud architecture has emerged as a transformative approach in modern enterprise computing, fundamentally changing how organizations deploy, manage, and scale their digital infrastructure. This technical article examines the evolution of multi-cloud strategies, exploring the key drivers behind their adoption and the enabling technologies that make them possible. The article investigates the critical role of containerization and orchestration in achieving workload portability, while also analyzing the impact of service discovery, networking solutions, and infrastructure as code practices.

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Zkik, Karim, Ghizlane Orhanou, and Said El Hajji. "Secure Mobile Multi Cloud Architecture for Authentication and Data Storage." International Journal of Cloud Applications and Computing 7, no. 2 (2017): 62–76. http://dx.doi.org/10.4018/ijcac.2017040105.

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The use of Cloud Computing in the mobile networks offer more advantages and possibilities to the mobile users such as storing, downloading and making calculation on data on demand and its offer more resources to these users such as the storage resources and calculation power. So, Mobile Cloud Computing allows users to fully utilize mobile technologies to store, to download, share and retrieve their personal data anywhere and anytime. As many recent researches show, the main problem of fully expansion and use of mobile cloud computing is security, and it's because the increasing flows and data

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Nikhil, Bhagat. "Optimizing Performance, Cost-Efficiency, and Flexibility through Hybrid Multi-Cloud Architectures." Journal of Scientific and Engineering Research 11, no. 4 (2024): 372–79. https://doi.org/10.5281/zenodo.14273093.

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Cloud Computing is the foundation of every modern company that is scalable, adaptable and economical. Hybrid multi-cloud environments, which combine private clouds, public clouds, and multiple cloud providers, represent the next generation for scaling cloud infrastructures. Hybrid cloud architecture lets organizations reap the security and control benefits of a private cloud while also taking advantage of the scalability and cost efficiency of a public cloud. Meanwhile, multi-cloud models avoid vendor lock-in, provide risk mitigation, and enable organizations to choose the best options from mu

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Venkata Surya Sai Charan Lolla. "The evolution of cloud computing: Leveraging multi-AI agent integration." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 687–92. https://doi.org/10.30574/wjarr.2025.26.2.1587.

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Multi-AI agent integration in cloud computing represents a transformative advancement in distributed artificial intelligence, where interconnected intelligent agents collaborate to solve complex problems. This technological evolution enables sophisticated task distribution, parallel processing, and dynamic resource allocation through coordinated agent networks. The architecture supports both autonomous operation and collaborative decision-making, implementing advanced protocols for inter-agent communication and system optimization. These systems demonstrate remarkable capabilities across vario

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Xiao, Zhanding, Bo Zheng, Jinghui Xia, and Zongqu Zhao. "Multi-core shared tree based MP2MP RWA algorithms in large scale and multi-domain optical networks." Journal of Physics: Conference Series 2722, no. 1 (2024): 012005. http://dx.doi.org/10.1088/1742-6596/2722/1/012005.

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Abstract The increasing demands of bandwidth-intensive parallel computing and collaborative applications, efficient service provisioning to support multipoint to multipoint (MP2MP) communications have attracted increasing attention. However, with the development of larger-scale and multi-domain optical networks, MP2MP RWA are introduced optimal domain sequence selection and core nodes belong to which domains problems which cannot be tackled by the conventional algorithms proposed aim at a signal domain. In this paper, we proposed a multi-core node shared multicast tree heuristic algorithm (MCS

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Abbas, Qaisar, and Abdullah Alsheddy. "Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis." Sensors 21, no. 1 (2020): 56. http://dx.doi.org/10.3390/s21010056.

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Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities to decrease traffic accidents caused by driver fatigue while driving on the road. Environmental conditions or driver behavior can ultimately lead to serious roadside accidents. In recent years, the authors have developed many low-cost, computerized, driver fatigue detection systems (DFDs) to help drivers, by using multi-sensors, and mobile and cloud-based computing architecture. To promote safe driving, these are the most current emerging platforms that were introduced in the past. In this paper, we r

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Patra, Sudhansu Shekhar, and R. K. Barik. "Dynamic Dedicated Server Allocation for Service Oriented Multi-Agent Data Intensive Architecture in Biomedical and Geospatial Cloud." International Journal of Cloud Applications and Computing 4, no. 1 (2014): 50–62. http://dx.doi.org/10.4018/ijcac.2014010105.

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Cloud computing has recently received considerable attention, as a promising approach for delivering Information and Communication Technologies (ICT) services as a utility. In the process of providing these services it is necessary to improve the utilization of data centre resources which are operating in most dynamic workload environments. Datacenters are integral parts of cloud computing. In the datacenter generally hundreds and thousands of virtual servers run at any instance of time, hosting many tasks and at the same time the cloud system keeps receiving the batches of task requests. It p

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Wang, Ji Zhe, and Zhan Jie Wang. "Architecture Design of Urban Intelligent Transportation Using Cloud Computing." Advanced Materials Research 605-607 (December 2012): 2549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2549.

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This article does a further research on the technologies of cloud computing and intelligent public transportation, designs a human-centered intelligent public transportation system, improves the connection between passengers and vehicles, vehicles and vehicles. Technologies of BeiDou messaging, capacity sensor, RFID and Web are used to improve the intelligence of public transportation information platform. This article makes an architecture design in intelligent transportation based on cloud computing and uses the embedded system as the core. The architecture allows passengers to obtain needed

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Thakur, Gaurav. "Enhancing Secure Cloud Storage: A Four-Tier Architecture with ChaCha20 Encryption, Blake3 Hashing, and Dynamic Chunk Allocation in Multi-Cloud Environment." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 497–507. https://doi.org/10.22214/ijraset.2025.70183.

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With the growing reliance on cloud computing for storing and managing data, providing security and performance for cloud storage systems has become very important and multicloud solutions offers both. Current cloud architectures suffer from scalability, security, and efficiency issues in distributed cloud systems. In this paper, we introduce a ChaCha20-encryption, a fast stream cipher and Blake3, an adaptive cryptographic hash function, and dynamic chunk allocation to an existing architecture that progressively improves data confidentiality, integrity, and redundancy. The experiment focuses on

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Mugisha, Emmy, Gongxuan Zhang, Maouadj Zine El Abidine, and Mutangana Eugene. "A TPM-based Secure Multi-Cloud Storage Architecture grounded on Erasure Codes." International Journal of Information Security and Privacy 11, no. 1 (2017): 52–64. http://dx.doi.org/10.4018/ijisp.2017010104.

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In cloud storage systems, data security management is becoming a serious matter. Big data and accessibility power is increasingly high, though the benefits are clear, such a service is also relinquishing users' physical possession of their outsourced data, which inevitably poses new security risks toward the correctness of the data in cloud. As a result, cloud storage security has become one of the driving components in Cloud Computing regarding to data manipulation trust on both hosting center and on-transit. This paper proposes a TPM-Based Security over Multi-Cloud Storage Architecture (MCSA

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Venkata, Baladari. "Monolith to Microservices: Challenges, Best Practices, and Future Perspectives." European Journal of Advances in Engineering and Technology 8, no. 8 (2021): 123–28. https://doi.org/10.5281/zenodo.15044455.

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The adoption of microservices architecture has significantly impacted software development, offering benefits such as enhanced scalability, increased flexibility, and accelerated deployment, although it also brings about issues including intricate communication complexities, security vulnerabilities, and elevated operational burdens. This study examines the shift from monolithic to microservices architecture, focusing on significant obstacles and effective methods including API gateways, containerization, Continuous Integration and Continuous Deployment (CI/CD) pipelines, and event-driven arch

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Nadia Tabassum, Humaria Naeem, and Asma Batool. "The Data Security and multi-cloud Privacy concerns." International Journal for Electronic Crime Investigation 7, no. 1 (2023): 49–58. http://dx.doi.org/10.54692/ijeci.2023.0701128.

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The security, privacy, and challenges of establishing trust in cloud computing are examined in this paper. It discusses the issues that must be resolved to guarantee the security, privacy, and reliability of data processed, stored, and shared in cloud architecture. Cloud computing is a rapidly growing field, with more and more individuals and organizations adopting it as their preferred data storage and processing method. However, with this growth comes the need for increased attention to privacy, security, and trust in cloud computing. In this paper, we review the current state of privacy, se

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Soltane, Merzoug, Kazar Okba, Derdour Makhlouf, and Sean B. Eom. "Smart Configuration and Auto Allocation of Resource in Cloud Data Centers." International Journal of Business Analytics 5, no. 4 (2018): 1–23. http://dx.doi.org/10.4018/ijban.2018100101.

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Cloud computing is one of emerging computing models that has many advantages. The IT industry is keenly aware of the need for Green Cloud computing solutions that save energy for the environment as well as reduce operational costs. This article presents a new green Cloud Computing framework based on multi agent systems for optimizing resource allocation in data centers (DCs). Our framework based on a new cloud computing architecture that benefits from the combination of the Cloud and agent technologies. DCs hosting Cloud applications need energy-aware resource allocation mechanisms that minimi

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Li, Jing, Ya Di Luo, Jie Xu, and Yu Pei Jia. "Computing Mode Study of Large-Scale Power Grid Online Analysis Software Based on Cloud Computing Technology." Applied Mechanics and Materials 427-429 (September 2013): 2696–700. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2696.

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This paper construct a large-scale power grid online analysis architecture based on "'Dispatch Cloud' architecture and combined with the power system characteristics and large grid dispatch system online analysis software features, it propose power grid online analysis software wide-area multi-level distributed parallel computing mode based on Dispatch Cloud Platform which is service oriented architecture (SOA). In this mode the coordination manage needed is achieved in the way of service encapsulation based SOA, including, data and model management services, computing resource management serv

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Segun Adanigbo, Oluwasanmi, Bolaji Iyanu Adekunle, Ejielo Ogbuefi, Oyejide Timothy Odofin, Oluwademilade Aderemi Agboola, and Denis Kisina. "Implementing Zero Trust Security in Multi-Cloud Microservices Platforms: A Review and Architectural Framework." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 2402–9. https://doi.org/10.62225/2583049x.2024.4.6.4357.

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The widespread adoption of multi-cloud infrastructures and microservices architectures has redefined enterprise computing by enhancing scalability, modularity, and service delivery. However, this decentralization has also introduced expanded threat surfaces and complex security challenges that traditional perimeter-based models can no longer address effectively. This paper presents a comprehensive review and a proposed architectural framework for implementing Zero Trust Security (ZTS) in multi-cloud microservices environments. Beginning with a synthesis of existing literature and industry best

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Shinu Pushpan. "Multi-Tenant Architecture: A Comprehensive Framework for Building Scalable SaaS Applications." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1117–26. https://doi.org/10.32628/cseit241061151.

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Multi-tenant architecture has emerged as a fundamental paradigm in modern software development, particularly in Software as a Service (SaaS) applications where multiple organizations share computing resources while maintaining data isolation. This article presents a comprehensive framework for understanding and implementing multi-tenant systems, focusing on essential architectural decisions and design patterns that ensure scalability, security, and resource efficiency. The article examines the evolution from single-tenant to multi-tenant architectures, analyzes various data partitioning strate

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Bruno, Rodrigo, Fernando Costa, and Paulo Ferreira. "freeCycles - Efficient Multi-Cloud Computing Platform." Journal of Grid Computing 15, no. 4 (2017): 501–26. http://dx.doi.org/10.1007/s10723-017-9414-2.

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Papadakis-Vlachopapadopoulos, Konstantinos, Ioannis Dimolitsas, Dimitrios Dechouniotis, Eirini Eleni Tsiropoulou, Ioanna Roussaki, and Symeon Papavassiliou. "On Blockchain-Based Cross-Service Communication and Resource Orchestration on Edge Clouds." Informatics 8, no. 1 (2021): 13. http://dx.doi.org/10.3390/informatics8010013.

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With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edge clouds relies on the concept of network slicing, which provides logically isolated computing and network resources. However, though there is significant progress on the automation of the resource orchestration within a single cloud or edge cloud datacenter, the orchestration of multi-domain infrastructure or multi-administrative domain is still a

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Abramov, O. V., and D. A. Nazarov. "APPLICATION OF CLOUD COMPUTING TECNOLOGY FOR SOLVING THE PROBLEM OF ACCEPTABILITY REGIONS CONSTRUCTION AND ANALYSIS." Informatika i sistemy upravleniya, no. 4 (2021): 53–66. http://dx.doi.org/10.22250/isu.2021.70.53-66.

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The article deals with the application of cloud computing to solve the problems of construction and analysis of engineering system acceptability regions (AR). It is claimed that the cloud plat-form is the most appropriate architecture for consolidating high-performance computing re-sources, modeling software and data warehouses in multi-user mode. The main components of the cloud environment for (AR) construction and analysis within the framework of the SaaS and DaaS cloud service models are discussed.

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Indira, K., and R. Karthikeyan. "Performance Analysis and Optimization of Multi-Cloud Compuitng for Loosly Coupled MTC Applications." Asian Journal of Computer Science and Technology 1, no. 1 (2012): 125–29. http://dx.doi.org/10.51983/ajcst-2012.1.1.1693.

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Cloud storage enables network online storage where data is stored on multiple virtual servers. In order to carry out huge tasks in cloud environment, single cloud provider is not sufficient to perform the many tasks applications and services. For Handling Intensive task, need to have multi cloud environment to improve the cost-effectiveness of the deployment and increase availability. Larger tasks are carried out by processing of many tasks at a time in a cloud computing environment. In this paper, for efficient handling of multiple tasks, need to have the performance analysis and optimization

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Гордина, А. Т., А. В. Забродин, and А. Д. Хомоненко. "Designing Serverless architecture applications." Vestnik of Russian New University. Series «Complex systems: models, analysis, management», no. 2 (June 21, 2022): 140–48. http://dx.doi.org/10.18137/rnu.v9187.22.02.p.140.

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Рассматривается модель бессерверной архитектуры облачных вычислений. Проведено сравнение с традиционной многоуровневой архитектурой. Рассмотрено использование API-шлюза – связующего звена между клиентом и сервисами. Приведен пример спецификации приложения по управлению грузоперевозками. Рассмотрено внедрение бессерверной архитектуры в микросервисную. Определены принципы проектирования основных компонентов модели FaaS – функция как сервис – составляющей бессерверных вычислений. Обосновано создание бессерверной архитектуры и задач, решаемых при разработке приложения. В качестве провайдера облачн

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