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Journal articles on the topic 'Architecture of hybrid cloud computing'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

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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Gokul Chandra Purnachandra Reddy. "Architecting Hybrid Edge-Cloud Solutions: Integration Patterns for Public Cloud Platforms." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2145–54. https://doi.org/10.32628/cseit23112562.

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This article examines the integration of edge computing with major public cloud platforms, presenting a structured analysis of architectural patterns, implementation challenges, and optimization strategies in this rapidly evolving technological domain. The article explores three fundamental integration models—hub-and-spoke, mesh, and hybrid patterns—evaluating their suitability for various use cases and operational environments. It explores critical implementation challenges related to connectivity management, data synchronization, security architecture, and resource orchestration, offering pr

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Aktas, Mehmet S. "Hybrid cloud computing monitoring software architecture." Concurrency and Computation: Practice and Experience 30, no. 21 (2018): e4694. http://dx.doi.org/10.1002/cpe.4694.

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T.Venkat, Narayana Rao, Naveena Kamsali, David Reena, and Sathya Narayana M. "A New Computing Environment Using Hybrid Cloud." Journal of Information Sciences and Computing Technologies 3, no. 1 (2015): 180–85. https://doi.org/10.5281/zenodo.3969202.

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ract Cloud computing is commonly used for the delivery of software, infrastructure and storage services over the internet. The delivery of services can be done in the private cloud or public cloud. Private cloud resources will be within our data center and it is a secure environment where only specified client can operate. Public cloud resources are provided in a virtualized environment, which provides a pool of shared resources. Hybrid cloud is integration of private, public and in some cases community cloud to perform unique functions within the same organization. Small and medium scale orga

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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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Purushoththaman, Dr M. E., and B. Bhavani. "Analysis on Cloud Computing Architectures." YMER Digital 21, no. 01 (2022): 561–76. http://dx.doi.org/10.37896/ymer21.01/52.

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Cloud computing is an evolving technique and emerged the entire IT industry in recent years. It transformed the IT landscape and brought the world in the hands of public. One can access the resources available on cloud on pay-as-you-use basis, like applications and infrastructure provided by cloud providers in the form of applications already deployed by cloud providers for use by the cloud users. These services are developed, tested and deployed before they brought into use. Another feature of cloud computing is its massive storage infrastructure made available for database and data supplied

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Dreher, Patrick, William Scullin, and Mladen Vouk. "Toward a Proof of Concept Implementation of a Cloud Infrastructure on the Blue Gene/Q." International Journal of Grid and High Performance Computing 7, no. 1 (2015): 32–41. http://dx.doi.org/10.4018/ijghpc.2015010103.

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Conventional cloud computing architectures may seriously constrain computational throughput for HPC applications and data analysis. The traditional approach to circumvent such problems has been to map such applications onto specialized hardware and co-processor architectures. These shortcomings have given rise to calls for software that can provide richer environments for implementing clouds on these HPC architectures. It was recently reported that a proof of concept cloud computing system was successfully embedded in a standard Blue Gene/P HPC supercomputer. This software defined system re-ar

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Ren, Zhimin. "Data Processing Platform of Cloud Computing and Its Performance Analysis Based on Photoelectric Hybrid Interconnection Architecture." Journal of Nanoelectronics and Optoelectronics 15, no. 6 (2020): 743–52. http://dx.doi.org/10.1166/jno.2020.2805.

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Data processing platform is the core support platform of cloud computing. The use of electric interconnection architecture will increase the complexity of network topology, while optical interconnection architecture is ideal, so cloud computing platform based on optical interconnection has become a research hotspot. The distributed optical interconnection architecture of cloud computing data processing platform is focused on. Combining the hybrid mechanism of optical circuit switching and electric packet switching, it can meet a variety of traffic requirements. Meanwhile, it improves the switc

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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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Gireesh Kambala. "Exploring the synergy between cloud computing and enterprise architecture: Challenges and opportunities." International Journal of Science and Research Archive 9, no. 1 (2023): 794–812. https://doi.org/10.30574/ijsra.2023.9.1.0416.

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This study examines how cloud computing integrates into enterprise architecture (EA) while exploring its fundamental implementation challenges and benefits. Cloud computing enables scalability, cost-efficient deployment, and rapid activation, yet the integration process brings complicated problems involving data protection and regulatory requirements while sustaining system interoperability. Through the mixed-methods research model, the study measures organizational capabilities for adopting unified cloud solutions that preserve architectural coherence. The research identifies key success fact

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Kelechi, Douglas Allswell, Ituma Chinagolum, Ukabuiro Ikenna Kelechi, Chidi Ukamaka Betrand, and Mercy Eberechi Benson-Emenike. "Securing Cloud Environment Using Hybrid (Adaptive Public Key) Model." European Journal of Theoretical and Applied Sciences 2, no. 1 (2024): 585–94. http://dx.doi.org/10.59324/ejtas.2024.2(1).51.

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Although data security has always been important, it is now even more so given the significance of cloud computing and the enormous amounts of complex data it holds. In cloud computing, having data accessible at all times is vital, as is collecting and preserving data without loss or corruption. The use of appropriate algorithms is one of the most important aspects of security. These protocols protect data by limiting unauthorized access. In order to ensure the security of your data, you need to conduct research on the security risks associated with public clouds. The purpose of this document

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Douglas, Allswell Kelechi, Chinagolum Ituma, Ikenna Kelechi Ukabuiro, Ukamaka Betrand Chidi, and Eberechi Benson-Emenike Mercy. "Securing Cloud Environment Using Hybrid (Adaptive Public Key) Model." European Journal of Theoretical and Applied Sciences 2, no. 1 (2024): 585–94. https://doi.org/10.59324/ejtas.2024.2(1).51.

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Although data security has always been important, it is now even more so given the significance of cloud computing and the enormous amounts of complex data it holds. In cloud computing, having data accessible at all times is vital, as is collecting and preserving data without loss or corruption. The use of appropriate algorithms is one of the most important aspects of security. These protocols protect data by limiting unauthorized access. In order to ensure the security of your data, you need to conduct research on the security risks associated with public clouds. The purpose of this document

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Murali Kadiyala. "Hybrid Cloud Deployment: Best Practices for Application Engineers." Kuwait Journal of Computer Science 1, no. 1 (2023): 17–25. https://doi.org/10.52783/kjcs.281.

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This paper highlights the discussion of hybrid cloud deployment and its best practices for application engineers. Hybrid cloud deployment methods have become the new standard for organizations. Hybrid cloud deployment is important for application engineers since it may be utilized to expand on-premises sources within an organization. These days, the hybrid cloud deployment model, or HCDM model, is thought to be the most effective cloud computing paradigm due to its open-source features. Application engineers can maintain computing power based on consumption and fluctuations thanks to hybrid cl

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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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Hitesh Premshankar Rai, Pavan Ogeti, Narendra Sharad Fadnavis, Gireesh Bhaulal Patil, and Uday Krishna Padyana. "Integrating Public and Private Clouds: The Future of Hybrid Cloud Solutions." Universal Research Reports 8, no. 2 (2024): 143–53. http://dx.doi.org/10.36676/urr.v9.i4.1320.

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A hybrid cloud system basically mixes on-premises and cloud computing resources to provide workload distribution, security, and mobility. A hybrid cloud might contain two or more personal clouds, or it could have one public cloud and one private cloud, depending on what is needed. Typically, third-party providers like Microsoft, Google, and Amazon offer cloud services to the public. The primary goal of cloud computing, which is an innovative approach, is to provide net computation and safe, rapid, and easy data storage. Security concerns are crucial even if cloud computing significantly lowers

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Wei, Xianglin, Jianhua Fan, Ziyi Lu, and Ke Ding. "Application Scheduling in Mobile Cloud Computing with Load Balancing." Journal of Applied Mathematics 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/409539.

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Mobile cloud computing (MCC) enables the mobile devices to offload their applications to the cloud and thus greatly enriches the types of applications on mobile devices and enhances the quality of service of the applications. Under various circumstances, researchers have put forward several MCC architectures. However, how to reduce the response latency while efficiently utilizing the idle service capacities of the mobile devices still remains a challenge. In this paper, we firstly give a definition of MCC and divide the recently proposed architectures into four categories. Secondly, we present

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Zinkin, S. A., Mustafa Sadeq Jaafar, and N. S. Karamysheva. "CONCEPTUAL REPRESENTATIONS AND MODIFICATIONS OF PETRI NETS FOR APPLICATIONS IN THE AREA OF SYNTHESIS OF A FUNCTIONAL ARCHITECTURE OF DISTRIBUTED COMPUTATIONAL SYSTEMS WITH VARIABLE STRUCTURE." Proceedings of the Southwest State University 22, no. 6 (2019): 143–67. http://dx.doi.org/10.21869/2223-1560-2018-22-6-143-167.

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Background. The object of the research is the functional architecture of distributed computing systems with a variable (reconfigurable) structure characteristic of hybrid systems of cloud-network (grid) type. Despite the fact that Petri nets have long been studied both theoretically and practically, the methods of their interpretation continue to develop intensively. At present, the problem of embedding Petri nets in the architecture of distributed network applications used to implement global computing in modern mixed cloud, grid and cluster systems has not been sufficiently studied. It is sh

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Vahdat-Nejad, Hamed, Shaghayegh Ostadi Eilaki, and Shaghayegh Izadpanah. "Towards a Better Understanding of Ubiquitous Cloud Computing." International Journal of Cloud Applications and Computing 8, no. 1 (2018): 1–20. http://dx.doi.org/10.4018/ijcac.2018010101.

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Ubiquitous Cloud Computing has been recently proposed as a new hybrid computing model. This paradigm has two aspects: (a) Making use of cloud services to realize context-awareness (especially for mobile phones) and (b) Introducing a new and hybrid computing model. Likewise, this paper mainly involves two subjects: To deeply investigate previous cloud services that have been utilized to design context-aware systems, and to propose an open architecture for the “Ubiquitous Cloud Computing” paradigm. The aim of this article is to technically discuss mutual trends of ubiquitous and cloud computing,

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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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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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Narzu, Tarannum and Nova Ahmed. "EFFICIENT AND RELIABLE HYBRID CLOUD ARCHITECTURE FOR BIG DATABASE." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 3, December (2018): 01–13. https://doi.org/10.5281/zenodo.1420759.

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The objective of our paper is to propose a Cloud computing framework which is feasible and necessary for handling huge data. In our prototype system we considered national ID database structure of Bangladesh which is prepared by election commission of Bangladesh. Using this database we propose an interactive graphical user interface for Bangladeshi People Search (BDPS) that use a hybrid structure of cloud computing handled by apache Hadoop where database is implemented by HiveQL. The infrastructure divides into two parts: locally hosted cloud which is based on “Eucalyptus” and the

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Walker, Emily R. "Hybrid Cloud Architectures for Scalable and Secure Data Storage." International Journal of Innovative Computer Science and IT Research 1, no. 02 (2025): 1–12. https://doi.org/10.63665/ijicsitr.v1i02.02.

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As far as the requirements of scalable and secure data storage solutions in the past few years are concerned, their requirements have always remained a top concern for businesses with an increasing amount of data to deal with. Hybrid cloud architectures, providing private and public cloud infrastructure, possess a promising solution towards scalability, flexibility, and increased security. This paper is an examination of the building blocks of hybrid cloud systems with regard to their ability to support scalable data storage as well as deal with the issue of security. We examine the different

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Mohammed, Zainab Khalid. "Enhancing IoNT performance with fog computing: A hybrid architecture for real-time data processing." Computer and Telecommunication Engineering 2, no. 4 (2024): 3028. https://doi.org/10.54517/cte3028.

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<p>The rapid evolution of the Internet of Nano Things (IoNT) and Fog Computing presents new opportunities for creating advanced smart systems that are both efficient and responsive. Integrating IoNT with Fog Computing offers a powerful paradigm that can address the limitations of cloud-centric architectures, particularly in terms of latency, bandwidth, and real-time processing. The paper explores the synergistic combination of IoNT and Fog Computing, focusing on the development of a hybrid architecture that leverages the proximity and computational capabilities of fog nodes to process da

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Zinkin, S. A., and Mustafa Sadeq Jaafar. "DEVELOPMENT OF INFORMATION AND COMMUNICATION INFRASTRUCTURE OF DISTRIBUTED COMPUTING SYSTEMS BASED ON THE CONCEPT "THE NETWORK IS THE COMPUTER"." Proceedings of the Southwest State University 22, no. 4 (2018): 75–93. http://dx.doi.org/10.21869/2223-1560-2018-22-4-75-93.

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The concept "network is a computer" that has been further developed in the form of a paradigm of cloud applications that have the properties of "multi-lease"and "live" database migration is considered. Of particular interest in this regard is the development of a middleware for large reconfigurable clustered server systems as part of the support of the "big data" concept. Therefore, an approach is being developed to design a reconfigurable and parametrically tuned system and functional architecture of distributed computing systems. In some cases, the implementation of this approach can provide

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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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Achar, Sandesh. "An Overview of Environmental Scalability and Security in Hybrid Cloud Infrastructure Designs." Asia Pacific Journal of Energy and Environment 8, no. 2 (2021): 39–46. http://dx.doi.org/10.18034/apjee.v8i2.650.

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The practice of using IT resources via the internet with pay-as-you-go pricing is known as cloud computing. The cloud computing market has grown dramatically in the last few years. Most companies are transmitting from on-premises data centers to cloud computing. You can use the cloud as an alternative to purchasing and maintaining computer hardware and software. You can spend time, energy, or money doing everything yourself. This paper presents an overview of the architecture, scalability, economics, consistency-availability-partition, transactions, and security of cloud-based system designs.

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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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Park, Joonseok, Ungsoo Kim, Donggyu Yun, and Keunhyuk Yeom. "Approach for Selecting and Integrating Cloud Services to Construct Hybrid Cloud." Journal of Grid Computing 18, no. 3 (2020): 441–69. http://dx.doi.org/10.1007/s10723-020-09519-x.

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Abstract With the popularization of cloud computing, various cloud services have emerged, and hybrid clouds that can take advantage of combining public and private clouds are attracting attention. However, because of their variety, determining a combination of cloud services suited to the user’s current environment and requirements is expensive when deploying a hybrid cloud. Even if the required services are available, there is a lack of tools to connect them, manage them in batches, and utilize the integrated environment. To solve these problems, this paper proposes a cloud selection and inte

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Alonso-Monsalve, Saúl, Félix García-Carballeira, and Alejandro Calderón. "A heterogeneous mobile cloud computing model for hybrid clouds." Future Generation Computer Systems 87 (October 2018): 651–66. http://dx.doi.org/10.1016/j.future.2018.04.005.

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Amit, Dr Amandeep, and Khushi. "Hybrid AI Modal for Edge Computing in 5G." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 2655–63. https://doi.org/10.22214/ijraset.2025.72750.

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Growing next generation technologies include autonomous driving, smart healthcare systems, and augmented reality provide massive amounts of data that need to be consistently and fast handled. Expectations of ultra-low latency and tremendous bandwidth have surged sharply with the deployment of 5G networks. Although conventional cloud computing provides a lot of processing capability, its inherent delay from centralized architectures makes it difficult to fulfill the real-time needs of these applications. Moving computation closer to data sources gives edge computing a potential answer. The edge

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Gilbert, Gilbert Mapunda. "Design of Fog-based Computing Architecture for Enhancing Secondary Distribution Grid Services Management." Journal of ICT Systems 2, no. 2 (2024): 107–22. https://doi.org/10.56279/jicts.v2i2.125.

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Power utility providers have faced an increasing need for the deployment of intelligent solutions consisting of affordable sensing and data-driven technologies to monitor the health of secondary distribution network (SDN). Existing manual-based approaches are not capable of collecting large volumes of real-time operational data to achieving significant monitoring of the SDN network for reliable power distribution. Effective monitoring would require real-time sensing, scalable high-performance computing and appropriate grid-based application for data processing. This paper presents a computing

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Dmitry, Vasilenko and Mahesh Kurapati. "DYNAMIC TENANT PROVISIONING AND SERVICE ORCHESTRATION IN HYBRID CLOUD." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 9, no. 2/3 (2022): 1. https://doi.org/10.5281/zenodo.7476019.

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The advent of container orchestration and cloud computing, as well as associated security and compliance complexities, make it challenging for the enterprises to develop robust, secure, manageable and extendable architectures which would be applicable to the public and private cloud. The main challenges stem from the fact that on-premises, private cloud and third-party, public cloud services often have seemingly different and sometimes conflicting requirements to tenant provisioning, service deployment, security and compliance and that can lead to rather different architectures which still hav

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Pruthvi Tatikonda. "Optimizing Data Processing Through Edge-Cloud Integration: A Comprehensive Framework." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 3374–83. https://doi.org/10.32628/cseit251112352.

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This article presents a comprehensive analysis of hybrid edge-cloud architectures in modern distributed computing systems, focusing on the synergistic integration of edge and cloud computing paradigms. The study examines the fundamental principles, implementation strategies, and challenges in creating efficient hybrid processing environments. Through detailed analysis of real-world case studies across autonomous vehicles, maritime operations, and healthcare sectors, we demonstrate the practical applications and benefits of hybrid processing approaches. The research encompasses technical specif

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Sreerangapuri, Ashok. "Designing Resilient Hybrid Data Centers: Multi-Cloud Integration with Edge Computing for Improved Redundancy." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 2 (2018): 801–10. http://dx.doi.org/10.61841/turcomat.v9i2.14932.

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As organizations adopt multi-cloud strategies to enhance operational agility, the integration of edge computing is emerging as a critical solution to address latency and redundancy challenges. This paper explores the architecture and design principles of hybrid data centers that seamlessly integrate cloud resources with edge nodes. It highlights the key considerations for ensuring redundancy, performance, and data sovereignty while managing distributed workloads. The study provides real-world case examples of hybrid data center deployments across different sectors, focusing on the role of soft

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Chen, Min-Xiou, and Chi-Hsun Wu. "The Network Live Migration Design Based On The Mobile IPv6 Network Mobility For Hybrid Cloud Network." International Journal of Advanced Networking and Applications 13, no. 06 (2022): 5229–36. http://dx.doi.org/10.35444/ijana.2022.13609.

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In the Cloud Computing, the migration mechanism can provide services, computing jobs and resources moved from a virtual environment to another virtual environment, and service providers can fit out their logic network architectures to offer services for user requirements. The network live migration across the different networks is a big challenge of the migration mechanism. In the paper, logical network architecture was proposed to provide the Cloud Computing in a hybrid network environment. The logical network concept, tunnel technology, domain name service and some existing network protocols

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Mateescu, Gabriel, Wolfgang Gentzsch, and Calvin J. Ribbens. "Hybrid Computing—Where HPC meets grid and Cloud Computing." Future Generation Computer Systems 27, no. 5 (2011): 440–53. http://dx.doi.org/10.1016/j.future.2010.11.003.

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Wei, Huiting. "Optical Hybrid Network Structure Based on Cloud Computing and Big Data Technology." Journal of Sensors 2022 (August 10, 2022): 1–6. http://dx.doi.org/10.1155/2022/3936876.

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In order to meet the communication requirements of photoelectric hybrid network architecture, a research based on cloud computing and big data technology is proposed. The main content of this study is based on the analysis of cloud computing and big data technology, through the study of technical characteristics, using topological optical link with bypass data structure and other methods, and finally through experiments and analysis to build the research means of cloud computing and big data technology. The experimental results show that the weights of optical links are 60, 50 and 20, respecti

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Emily, R. Walker. "Hybrid Cloud Architectures for Scalable and Secure Data Storage." International Journal of Innovative Computer Science and IT Research 01, no. 02 (2025): 12–23. https://doi.org/10.5281/zenodo.15147313.

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As far as the requirements of scalable and secure data storage solutions in the past few years are concerned, their requirements have always remained a top concern for businesses with an increasing amount of data to deal with. Hybrid cloud architectures, providing private and public cloud infrastructure, possess a promising solution towards scalability, flexibility, and increased security. This paper is an examination of the building blocks of hybrid cloud systems with regard to their ability to support scalable data storage as well as deal with the issue of secur

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Korolija, Nenad, and Svetlana Štrbac-Savić. "Merging control-flow and dataflow architectures on a single chip." Journal of Computer and Forensic Sciences, no. 00 (2024): 6. http://dx.doi.org/10.5937/jcfs3-49392.

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Computing power rises predominantly by increasing the number of cores in modern processors and the number of processors in cluster and cloud architectures. Along with increasing processing power, high-performance computing requirements also rise. The majority of the computing infrastructure includes control-flow processors that are based on the von Neumann paradigm. On the contrary, the principle of dataflow architectures is based on the data flowing through the already configured hardware. Recent research has proposed hybrid architectures, where both control-flow and dataflow hardware would e

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Andriulo, Francesco Cosimo, Marco Fiore, Marina Mongiello, Emanuele Traversa, and Vera Zizzo. "Edge Computing and Cloud Computing for Internet of Things: A Review." Informatics 11, no. 4 (2024): 71. http://dx.doi.org/10.3390/informatics11040071.

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The rapid expansion of the Internet of Things ecosystem has created an urgent need for efficient data processing and analysis technologies. This review aims to systematically examine and compare edge computing, cloud computing, and hybrid architectures, focusing on their applications within IoT environments. The methodology involved a comprehensive search and analysis of peer-reviewed journals, conference proceedings, and industry reports, highlighting recent advancements in computing technologies for IoT. Key findings reveal that edge computing excels in reducing latency and enhancing data pr

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Jurgelevicius, Albertas, Leonidas Sakalauskas, and Virginijus Marcinkevicius. "Application of a Task Stalling Buffer in Distributed Hybrid Cloud Computing." Elektronika ir Elektrotechnika 27, no. 6 (2021): 57–65. http://dx.doi.org/10.5755/j02.eie.28679.

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The purpose of the research is to create a hybrid cloud platform that performs distributed computing tasks using high-performance servers and volunteer computing resources. The proposed platform uses a new task scheduling method, which is also presented in this paper. It uses a task stalling buffer to manage workload among the two grids without any additional information about the tasks. Since efficient task scheduling in these distributed systems is the actual problem, the system reliability issue is solved using a hybrid cloud architecture when both high-performance servers and volunteer com

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Dmitry, Vasilenko, and Kurapati Mahesh. "Dynamic Tenant Provisioning and Service Orchestration in Hybrid Cloud." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 9, no. 2/3 (2019): 1–10. https://doi.org/10.5281/zenodo.3483491.

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The advent of container orchestration and cloud computing, as well as associated security and compliance complexities, make it challenging for the enterprises to develop robust, secure, manageable and extendable architectures which would be applicable to the public and private cloud. The main challenges stem from the fact that on-premises, private cloud and third-party, public cloud services often have seemingly different and sometimes conflicting requirements to tenant provisioning, service deployment, security and compliance and that can lead to rather different architectures which still hav

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NAVEEN REDDY THATIGUTLA. "The Evolution of Cloud Architecture: Navigating Security and Sustainability in the Hybrid Era." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 73–79. https://doi.org/10.32996/jcsts.2025.7.5.10.

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The convergence of public and private cloud infrastructure represents a transformative shift in enterprise computing, reshaping how organizations manage data, handle security, and address sustainability concerns. This comprehensive exploration delves into the evolution of hybrid cloud architectures, examining their impact on various sectors including healthcare, education, and financial services. The integration of advanced technologies such as AI and edge computing has revolutionized data processing capabilities, enabling real-time applications and enhanced decision-making systems. Security i

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VALLIKANNU AR. "DYNAMIC RESOURCE ALLOCATION ENERGY-EFFICIENT FRAMEWORK FOR GREEN CLOUD COMPUTING." international journal of engineering technology and management sciences 7, no. 4 (2023): 639–46. http://dx.doi.org/10.46647/ijetms.2023.v07i04.089.

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Cloud Computing has been a trending technology for a few years supporting computational services over internet. But ever since its adoption, cloud’s consistent challenge is in its dynamic resource allocation. The existing cloud model details the online and offline algorithms used to decide the dynamic resource allocation. The goal is to have a dynamic resource allocation framework that aligns to cloud data management’s objective of maximizing revenue with minimum cost. This encourages both consumers and cloud providers not only with energy-efficient power usage but also high CPU utilization. T

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Toth, Gergo, Sandor Szabo, Tamas Haidegger, and Marta Alexy. "Edge or Cloud Architecture: The Applicability of New Data Processing Methods in Large-Scale Poultry Farming." Technologies 13, no. 1 (2025): 17. https://doi.org/10.3390/technologies13010017.

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As large-scale poultry farming becomes more intensive and concentrated, a deeper understanding of poultry meat production processes is crucial for achieving maximum economic and ecological efficiency. The transmission and analysis of data collected on birds and the farming environment in large-scale production environments using digital tools on a secure platform are not straightforward. In our on-site research, we have investigated two architectures, a cloud-based processing architecture and an edge computing-based one, in large-scale poultry farming circumstances. These results underscore th

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Dewi, Maya Utami, Lukman Santoso, and Agustinus Budi Santoso. "Optimizing AI Performance in Industry: A Hybrid Computing Architecture Approach Based on Big Data." Journal of Technology Informatics and Engineering 3, no. 3 (2024): 308–23. https://doi.org/10.51903/jtie.v3i3.201.

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In the era of Industry 4.0, integrating artificial intelligence (AI) and big data analytics in the industrial sector demands high-performance computing infrastructure to handle increasingly complex and voluminous datasets. This study investigates the optimization of AI performance by implementing a hybrid computing architecture, integrating CPUs, GPUs, FPGAs, and edge-cloud computing. The research aims to enhance processing speed, model accuracy, and energy efficiency, addressing the limitations of standalone computing systems. A quantitative methodology was employed, using over 1 TB of indust

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Sun, Zeyu, and Yunxing Shu. "Analysis of Blended Learning Scheme Based on Cloud Computing Assisted Instructions." International Journal of Emerging Technologies in Learning (iJET) 11, no. 03 (2016): 51. http://dx.doi.org/10.3991/ijet.v11i03.5535.

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With the development of science and technology, cloud computing technology has been widely applied in a variety of engineering fields, while its application and promotion in the education is always neglected. In this paper, the cloud computing assisted hybrid learning scheme is put forward based on the analysis of the cloud computing technology and the hybrid method. Firstly, the cloud computing platform architecture and key technology are explained. Secondly, the four stages of the blended learning scheme model are established in accordance with its guiding ideology and construction principle

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Yang, Er Song, Lin You, Zhen Dong Wu, and Wang Ke Yu. "Massive Data Hybrid Encryption Algorithm Based on Cloud Computing." Applied Mechanics and Materials 651-653 (September 2014): 1864–67. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1864.

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In order to ensure the security of massive data and user’s privacy in cloud computing, encrypting is a preferred method to protect their security. Due to some characteristics of massive data,such as large scale and structural complexity, it makes that the traditional encryption algorithms cannot be directly used to protect the security of massive data in cloud computing. Considering the real-time and reliability of encryption algorithms, we propose a hybrid algorithm, which combines DES algorithm and one-dimensional logistic map by using the parallel computing architecture of the MapReduce. Ou

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Deepak, Kumar Malviya, and Kumar Lilhore Umesh. "Survey on Security Threats in Cloud Computing." International Journal of Trend in Scientific Research and Development 3, no. 1 (2018): 1222–26. https://doi.org/10.31142/ijtsrd19172.

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Cloud computing is a new and innovative technology, which serves resources as a service to cloud user. Cloud computing technology provides optimum utilization of computing resources in less cost, which attract organization to be part of cloud customer market. Day by day cloud users are getting increases. Cloud serves IaaS, PaaS, SaaS and DaaS as a service on various private public, community and hybrid cloud levels. On cloud data is stores over the network and this network is shared and access by various cloud users, so data security and privacy are key concerns. Due to shared architecture of

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Vigram, Prasanna, and K. Ashok kumar. "Energy-Efficient Framework for Green Cloud Computing in Dynamic Resource Allocation." International Research Journal of Computer Science 11, no. 04 (2024): 195–200. http://dx.doi.org/10.26562/irjcs.2024.v1104.10.

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Cloud Computing has been a trending technology for a few years supporting computational services over internet. But ever since its adoption, cloud’s consistent challenge is in its dynamic resource allocation. The existing cloud model details the online and offline algorithms used to decide the dynamic resource allocation. The goal is to have a dynamic resource allocation framework that aligns to cloud data management’s objective of maximizing revenue with minimum cost. This encourages both consumers and cloud providers not only with energy-efficient power usage but also high CPU utilization. T

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