Articoli di riviste: "Migration dans le Cloud"

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Fröschle, Hans-Peter. "Rezension „Cloud Migration“". HMD Praxis der Wirtschaftsinformatik 57, n. 5 (2 settembre 2020): 1075–76. http://dx.doi.org/10.1365/s40702-020-00655-2.

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Cathoud de Queiroz, Priscila, Tiago Bittencourt Nazaré e Felippe Cathoud de Queiroz. "Cloud Migration Model". International Journal of Engineering Trends and Technology 66, n. 1 (25 dicembre 2018): 38–43. http://dx.doi.org/10.14445/22315381/ijett-v66p207.

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Aslam, Mubeen, Lukman bin AB Rahim, Junzo Watada e Manzoor Hashmani. "Clustering-Based Cloud Migration Strategies". Journal of Advanced Computational Intelligence and Intelligent Informatics 22, n. 3 (20 maggio 2018): 295–305. http://dx.doi.org/10.20965/jaciii.2018.p0295.

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Abstract (sommario):

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 migration strategies, which provides an unambiguous visualization of the selected migration strategy. The cloud migration strategy targets the technical aspects linked with cloud facilities and measures the critical realization factors for cloud acceptance. Based on similar features, a correlation among the migration strategies is suggested, and three main clusters are formed accordingly. This helps to link the cloud migration strategies across the cloud service models (software as a service, platform as a service, and infrastructure as a service). This correlation was justified using the digital logic approach. This study is useful for the academia and industry as the proposed migration strategy selection process aids cloud consumers in efficiently selecting a cloud migration strategy for their legacy applications.

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E, Dr Shamsudeen. "Migration Issues in Cloud Computing". International Journal for Research in Applied Science and Engineering Technology 9, n. 8 (31 agosto 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 products. Even though it promises many benefits, it is not an easy task to migrate to cloud platform from a current conventional business platform. Cloud migration introduces its own issues. While looking for migrating business from on-premises to cloud, many challenges should be kept in mind for successful migration. Keywords: Cloud migration, digital transformation

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Mendonca, Nabor C. "Architectural Options for Cloud Migration". Computer 47, n. 8 (agosto 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, n. 1 (maggio 2014): 62–65. http://dx.doi.org/10.1109/mcc.2014.24.

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Gouda, K. C., Dines Dwivedi, Anurag Patro e Nagaraj Bhat. "Migration Management in Cloud Computing". International Journal of Engineering Trends and Technology 12, n. 9 (25 giugno 2014): 466–72. http://dx.doi.org/10.14445/22315381/ijett-v12p288.

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Rani, Anita, e Pankajdeep Kaur. "Migration Jobs in Cloud Computing". International Journal of Grid and Distributed Computing 8, n. 6 (31 dicembre 2012): 151–60. http://dx.doi.org/10.14257/ijgdc.2015.8.6.15.

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Li, Shiyong, Yue Zhang e Wei Sun. "Optimal Resource Allocation Model and Algorithm for Elastic Enterprise Applications Migration to the Cloud". Mathematics 7, n. 10 (1 ottobre 2019): 909. http://dx.doi.org/10.3390/math7100909.

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Abstract (sommario):

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 allocation model for enterprise applications migration into the cloud. The model is divided into two stages: the bandwidth allocation for enterprise applications migration to the cloud and the physical resource allocation of cloud resource providers for enterprise applications deployment into the cloud. In the first stage, we aim to minimize the cloud migration time for enterprise applications, and propose a scheme of bandwidth allocation for each component of applications. In the second stage, we present the resource allocation of cloud resource providers and propose a gradient-based algorithm which can achieve optimal resource allocation. Finally, we give some numerical simulation results to illustrate the performance of the proposed algorithm.

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Amin, Ruhul, e Siddhartha Vadlamudi. "Opportunities and Challenges of Data Migration in Cloud". Engineering International 9, n. 1 (25 aprile 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 throughout this paper. By breaking down the research achievement and application status, we divide the existing migration techniques into three strategies as indicated by the cloud service models essentially. Various processes should be considered for different migration techniques, and various tasks will be included accordingly. The similarities and differences between the migration strategies are examined, and the challenges and future work about data migration to the cloud are proposed. This paper, through a research survey, recognizes the key benefits and challenges of migrating data into the cloud. There are different cloud migration procedures and models recommended to assess the presentation, identifying security requirements, choosing a cloud provider, calculating the expense, and making any essential organizational changes. The results of this research paper can give a roadmap for data migration and can help decision-makers towards a secure and productive migration to a cloud computing environment.

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Hasan, Waqas. "Virtual Machine Migration in Cloud Computing". Oriental journal of computer science and technology 14, n. 010203 (28 febbraio 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 migration and NON-live VM migration.VM migration also helps in managing the loads of the multiple machines and with VM we can save power consumption. People have written about cloud computing and virtual machines in previous studies, but in this research, we'll speak about virtual machine migration in cloud computing, as well as the techniques that are used in the VM migration process. I have used table to show the differences between VM migration techniques.

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Muhammad, Shoaib, Muhammad Nabeel Mustafa Syed e Shabhi Ul Hasan Naqvi Syed. "Techniques of migration in live virtual machine and its challenges". i-manager's Journal on Computer Science 9, n. 4 (2022): 31. http://dx.doi.org/10.26634/jcom.9.4.18540.

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Abstract (sommario):

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 and after copying, and also issues related to live migration. This paper presents a better approach to the VM migration method and future challenges by differentiating from the previous live VM migration method.

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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, n. 10 (31 ottobre 2020): 555–58. http://dx.doi.org/10.22214/ijraset.2020.31953.

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Narantuya, Jargalsaikhan, Hannie Zang e 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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Maniah, Maniah, Benfano Soewito, Ford Lumban Gaol e Edi Abdurachman. "Risk Assessment for Logistics Applications in Cloud Migration". IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 16, n. 3 (31 luglio 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 considering the criteria for risk aspects and environmental aspects that will have an impact on the company, so that companies can make risk mitigation plans. The results of this study identified 11 (eleven) threats in the cloud that occupy the top ranking and identify as many as 17 (seventeen) indicators obtained from the identification of indicators in the previous model or framework used to assess risks in logistics business applications that will be implemented. migrated to the cloud. Based on the experimental results in this study, the application risk value during migration and after migration has a higher value than before migration, and the risk value during migration are higher than the risk value after migration.

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Kyriakou, Niki, Zoi Lachana, Dimitrios N. Skoutas, Charalampos Skianis e Yannis Charalabidis. "Achieving Seamless Migration to Private-Cloud Infrastructure for Multi-Campus Universities". International Journal on Cloud Computing: Services and Architecture 13, n. 2 (29 aprile 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. Cloud computing enables universities to quickly and easily access computing resources that can be scaled up or down as per their IT requirements, providing them with the necessary flexibility to meet dynamic demands. Private cloud migration further offers universities complete control over their internal security and SLA obligations, allowing them to guarantee a high level of service delivery. This paper contends that private cloud migration is an effective solution that can help multi-campus universities surmount their IT infrastructure challenges and enhance their IT service delivery capabilities. This paper presents a case study analysis of the University of the Aegean's migration to a private cloud and offers insights into the factors that influence successful private cloud migration in multi-campus universities. The paper argues that private cloud migration and cloud computing are effective solutions for resolving IT infrastructure issues and improving service delivery in higher education institutions. The paper provides recommendations for universities considering private cloud migration, offering a roadmap for successful migration. Additionally, the study identifies critical success factors that can help universities achieve a successful migration. In future work, this study could be expanded to include more universities and explore the challenges and benefits of private cloud migration in a broader context. Furthermore, it would be interesting to investigate the impact of private cloud migration on student outcomes, faculty satisfaction, and institutional performance.

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Wan, Zhitao, Ping Wang, Lihua Duan, Fan Jing Meng e Jing Min Xu. "Graph Similarity based Cloud Migration Service Composition Pattern Discovery". International Journal of Web Services Research 12, n. 2 (aprile 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 discovery approaches are not applicable for the cloud migration due to lack of either existing cloud migration business process knowledge or execution logs. This paper proposes a novel approach to discover cloud migration patterns from a set of service composition solutions. The authors formalize the pattern discovery as a special graph similarity matching problem and present an algorithm to calculate the similarities of these service composition solutions. Patterns are chosen out of the solutions by similarity under designed criteria. The benchmark results and quantitative analysis show that our proposed approach is effective and efficient in pattern discovery for cloud migration service composition.

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Govindasamy, C., e J. Venkatesh. "Data Center Management-Cloud Migration Techniques". Asian Journal of Research in Business Economics and Management 7, n. 10 (2017): 1. http://dx.doi.org/10.5958/2249-7307.2017.00174.8.

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Müller, Marion. "Trend zur Cloud-Migration hält an". Die Aktiengesellschaft 65, n. 4 (1 febbraio 2020): r45—r46. http://dx.doi.org/10.9785/ag-2020-650418.

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Kolb, Stefan, Jörg Lenhard e Guido Wirtz. "APPLICATION MIGRATION EFFORT IN THE CLOUD". Services Transactions on Cloud Computing 3, n. 4 (ottobre 2015): 1–15. http://dx.doi.org/10.29268/stcc.2015.0009.

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Fahmideh, Mahdi, Farhad Daneshgar, Fethi Rabhi e Ghassan Beydoun. "A generic cloud migration process model". European Journal of Information Systems 28, n. 3 (14 ottobre 2018): 233–55. http://dx.doi.org/10.1080/0960085x.2018.1524417.

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Ficco, Massimo, Christian Esposito, Henry Chang e Kim-Kwang Raymond Choo. "Live Migration in Emerging Cloud Paradigms". IEEE Cloud Computing 3, n. 2 (marzo 2016): 12–19. http://dx.doi.org/10.1109/mcc.2016.48.

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Sill, Alan. "Cloud Standards as Roadmaps for Migration". IEEE Cloud Computing 3, n. 2 (marzo 2016): 64–70. http://dx.doi.org/10.1109/mcc.2016.49.

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Zhao, Jun-Feng, e Jian-Tao Zhou. "Strategies and Methods for Cloud Migration". International Journal of Automation and Computing 11, n. 2 (aprile 2014): 143–52. http://dx.doi.org/10.1007/s11633-014-0776-7.

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Carrasco, Jose, Francisco Durán e Ernesto Pimentel. "Live migration of trans-cloud applications". Computer Standards & Interfaces 69 (marzo 2020): 103392. http://dx.doi.org/10.1016/j.csi.2019.103392.

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Chen, Yan-Ren, I.-Hsien Liu, Keng-Hao Chang, Chuan-Gang Liu e Jung-Shian Li. "VM Migration Placement in Cloud Service". Proceedings of International Conference on Artificial Life and Robotics 24 (10 gennaio 2019): 45–48. http://dx.doi.org/10.5954/icarob.2019.os1-4.

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Wang, Zhixiao, Wenyao Yan e Wendong Wang. "Revisiting Cloud Migration: Strategies and Methods". Journal of Physics: Conference Series 1575 (giugno 2020): 012232. http://dx.doi.org/10.1088/1742-6596/1575/1/012232.

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Kaur, Pankajdeep, e Anita Rani. "Virtual Machine Migration in Cloud Computing". International Journal of Grid and Distributed Computing 8, n. 5 (31 ottobre 2015): 337–42. http://dx.doi.org/10.14257/ijgdc.2015.8.5.33.

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Jamshidi, Pooyan, Aakash Ahmad e Claus Pahl. "Cloud Migration Research: A Systematic Review". IEEE Transactions on Cloud Computing 1, n. 2 (2013): 142–57. http://dx.doi.org/10.1109/tcc.2013.10.

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Jamshidi, Pooyan, Claus Pahl e Nabor C. Mendonça. "Pattern-based multi-cloud architecture migration". Software: Practice and Experience 47, n. 9 (3 ottobre 2016): 1159–84. http://dx.doi.org/10.1002/spe.2442.

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Singh, Shikha, e Subhas Chandra Misra. "Migration of PLM systems to cloud". International Journal of Communication Systems 31, n. 18 (23 settembre 2018): e3815. http://dx.doi.org/10.1002/dac.3815.

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32

Pal, Souvik, Raghvendra Kumar, Le Hoang Son, Krishnan Saravanan, Mohamed Abdel-Basset, Gunasekaran Manogaran e Pham Huy Thong. "Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud". Journal of Supercomputing 75, n. 9 (8 maggio 2019): 5848–65. http://dx.doi.org/10.1007/s11227-019-02874-x.

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Hasan, Waqas. "A Survey on Virtual Machine Migration in Cloud Computing". International Journal of Scientific & Engineering Research 13, n. 03 (25 marzo 2022): 648–53. http://dx.doi.org/10.14299/ijser.2022.03.03.

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Abstract (sommario):

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 migration and NON-live VM migration.VM migration also helps in managing the loads of the multiple machines and with VM we can save power consumption. People have written about cloud computing and virtual machines in previous studies, but in this research, we'll speak about virtual machine migration in cloud computing, as well as the techniques that are used in the VM migration process. I have used table to show the differences between VM migration techniques.

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Damodarrao Thakkalapelli. "Cost Analysis of Cloud Migration for Small Businesses". Tuijin Jishu/Journal of Propulsion Technology 44, n. 4 (11 novembre 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 landscape for small businesses. As digitalization becomes increasingly essential, embracing the cloud can mean the difference between thriving and merely surviving in today's fast-paced business environment. This article takes you on a journey through the complex realm of cloud migration, with a focus on cost analysis and its profound implications for small enterprises.

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Zahara, Soffa, Surya Sumpeno e Istas Pratomo. "Application level interoperability on IaaS cloud migration". Bulletin of Social Informatics Theory and Application 1, n. 2 (1 dicembre 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 aspects in order to meet better expectations of to the new provider. However, there are many obstacles in practice in the process of transfer system between two different environment or can be called migration. One of them is a vendor lock-in that caused system cannot be function properly especially application functionality after migration. This paper introduces improvement method of testing interoperability between systems that were migrated between different cloud providers which use different hypervisor technology. We also conduct interoperability application testing between several cloud providers.

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Zalieckaitė, Laima, Viktorija Kazakevičiūtė e Vilma Kalinovienė. "Migracijos į debesų kompiuterijos aplinką modelis". Management Theory and Studies for Rural Business and Infrastructure Development 37, n. 2 (17 giugno 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 cloud computing applications is constantly rising. The trend was also observed in Lithuanian context. It was foundthat themarket forcloud computing application scenarioscould be possibly used in different areas: for individual users, small and medium-sized companies, large organizations and the public sector. The above observations demonstrate that the growing number of organizations will use cloud computing model to manage their information resources. The future of cloud computing technology users need to understand migration processes and therefore have a defined migration model.

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Sharma, Chitra, Ashish Kumar e Pradeep Kumar Tiwari. "Energy efficient cloud computing using secure virtual machine migration: A taxonomy". Journal of Discrete Mathematical Sciences & Cryptography 26, n. 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 (SLA) violations. This article focuses on secure virtual machine migration with energy-efficient techniques

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Alharthi, Dalal. "Secure Cloud Migration Strategy (SCMS): A Safe Journey to the Cloud". International Conference on Cyber Warfare and Security 18, n. 1 (28 febbraio 2023): 1–6. http://dx.doi.org/10.34190/iccws.18.1.1038.

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The state of cloud security is evolving. Many organizations are migrating their on-premises data centers to cloud networks at a rapid pace due to the benefits like cost-effectiveness, scalability, reliability, and flexibility. Yet, cloud environments also raise certain security concerns that may hinder their adoption. Cloud security threats may include data breaches/leaks, data loss, access management, insecure APIs, and misconfigured cloud storage. The security challenges associated with cloud computing have been widely studied in previous literature and different research groups. This paper conducted a systematic literature review and examined the research studies published between 2010 and 2023 within popular digital libraries. The paper then proposes a comprehensive Secure Cloud Migration Strategy (SCMS) that organizations can adopt to secure their cloud environment. The proposed SCMS consists of three main repeatable phases/processes, which are preparation; readiness and adoption; and testing. Among these phases, the author addresses tasks/projects from the different perspectives of the three cybersecurity teams, which are the blue team (defenders), the red team (attackers), and the yellow team (developers). This can be used by the Cloud Center of Excellence (CCoE) as a checklist that covers defending the cloud; attacking and abusing the cloud; and applying the security shift left concepts. In addition to that, the paper addresses the necessary cloud security documents/runbooks that should be developed and automated such as incident response runbook, disaster recovery planning, risk assessment methodology, and cloud security controls. Future research venues and open cloud security problems/issues were addressed throughout the paper. The ultimate goal is to support the development of a proper security system to an efficient cloud computing system to help harden organizations’ cloud infrastructures and increase the cloud security awareness level, which is significant to national security. Furthermore, practitioners and researchers can use the proposed solutions to replicate and/or extend the proposed work.

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Tuli, Krishan. "A Systematic Review of Strategies and Methods for Cloud Migration". International Journal of Advance Research and Innovation 5, n. 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 presented migration methods into three strategies according to the cloud service models integrally. Unusual processes need to be painstaking for different migration strategies, and different tasks will be implicated accordingly. We conducted a systematic literature review (SLR) of 23 selected studies, published from 2010 to 2013. We classify and compare the selected studies based on a characterization framework that we also introduce in this paper. The research blend results in a facts base of current solutions. This review also identifies research gaps and commands for future research. This review reveals that cloud migration research is still in premature stages, but is advancing. It identifies the requirements for a migration framework to help improving the maturity level and consequently trust into cloud migration. This review shows a need of tool support to computerize migration tasks. This study also identifies needs for architectural version and self-adaptive cloud-enabled systems.

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Rachna, Ms, Ms Namrata e Ms Diksha. "Resource Allocation in Cloud". International Journal for Research in Applied Science and Engineering Technology 10, n. 2 (28 febbraio 2022): 1395–99. http://dx.doi.org/10.22214/ijraset.2022.40517.

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Abstract: A cloud environment is the popular shareable computing environments where large number of clients/users are connected to the common cloud computing environment to access the resources and the services. The presented work is focused on the concept of effective resource allocation, de-allocation and reallocation in a cloud environment. To present the concept, we have taken a cloud environment with multiple clouds along with multiple virtual machines. All the machines are homogenous. These all clouds are assigned by a specific priority. Now as the user request arrive, it performs the request to the priority cloud under its requirements in terms of memory & processor capabilities. When the client stops the task then the service allocated to the client is released & same can be reallocated to another client in the waiting. We can also some migration work so that if a cloud is under utilize then its services are migrated to nearest cloud having sufficient utilization. Hence the work provides efficient allocation, de-allocation and reallocation of cloud services with minimum need for migration of service from one cloud to another. Keywords: Resource Allocation, Resource Scheduling, Resource Migration

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P, Naresh, Rajyalakshmi P, Krishna Vempati e Saidulu D. "IMPROVING THE DATA TRANSMISSION SPEED IN CLOUD MIGRATION BY USING MAPREDUCE FOR BIGDATA". International Journal of Engineering Technology and Management Sciences 4, n. 5 (28 settembre 2020): 73–75. http://dx.doi.org/10.46647/ijetms.2020.v04i05.013.

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Abstract (sommario):

Cloud acts as a data storage and also used for data transfer from one cloud to other. Here data exchange takes place among cloud centers of organizations. At each cloud center huge amount of data was stored, which interns hard to store and retrieve information from it. While migrating the data there are some issues like low data transfer rate, end to end latency issues and data storage issues will occur. As data was distributed among so many cloud centers from single source, will reduces the speed of migration. In distributed cloud computing it is very difficult to transfer the data fast and securely. This paper explores MapReduce within the distributed cloud architecture where MapReduce assists at each cloud. It strengthens the data migration process with the help of HDFS. Compared to existing cloud migration approach the proposed approach gives accurate results interns of speed, time and efficiency.

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Khemwani, Taruna, e Rakesh Rathi. "VM Migration Techniques in Cloud: A Review". International Journal of Computer Applications 178, n. 40 (19 agosto 2019): 20–23. http://dx.doi.org/10.5120/ijca2019919284.

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Smimite, Oussama, e Karim Afdel. "Containers Placement and Migration on Cloud System". International Journal of Computer Applications 176, n. 35 (15 luglio 2020): 9–18. http://dx.doi.org/10.5120/ijca2020920493.

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Ahuja, Srishti, e T. N. Nisha. "A Conceptual Framework for Secure Cloud Migration". Journal of Physics: Conference Series 1964, n. 4 (1 luglio 2021): 042008. http://dx.doi.org/10.1088/1742-6596/1964/4/042008.

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Wang, Feng, Jiangchuan Liu, Minghua Chen e Haiyang Wang. "Migration Towards Cloud-Assisted Live Media Streaming". IEEE/ACM Transactions on Networking 24, n. 1 (febbraio 2016): 272–82. http://dx.doi.org/10.1109/tnet.2014.2362541.

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Alzoubaidi, Abdel Rahman. "Multi-Campus Universities Private-Cloud Migration Infrastructure". International Journal on Cloud Computing: Services and Architecture 6, n. 3 (30 giugno 2016): 01–13. http://dx.doi.org/10.5121/ijccsa.2016.6301.

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Qiu, Weiwei, Zibin Zheng, Xinyu Wang, Xiaohu Yang e Michael R. Lyu. "Reliability-Based Design Optimization for Cloud Migration". IEEE Transactions on Services Computing 7, n. 2 (aprile 2014): 223–36. http://dx.doi.org/10.1109/tsc.2013.38.

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Chadin, A. S., e G. A. Biziukin. "Determining cloud platform limits on resource migration". Proceedings of the Institute for System Programming of the RAS 31, n. 1 (2019): 59–68. http://dx.doi.org/10.15514/ispras-2018-31(1)-4.

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49

Chadin, A. S., e G. A. Biziukin. "Determining cloud platform limits on resource migration". Proceedings of the Institute for System Programming of the RAS 31, n. 1 (2019): 59–68. http://dx.doi.org/10.15514/ispras-2019-31(1)-4.

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50

S. S., Manikandasaran, e Raja S. "Security Architecture for multi-Tenant Cloud Migration". International Journal of Future Computer and Communication 7, n. 2 (giugno 2018): 42–45. http://dx.doi.org/10.18178/ijfcc.2018.7.2.518.

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