POF-SVLM: pareto optimized framework for seamless VM live migration
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POF-SVLM: pareto optimized framework for seamless VM live migration Chetan Dhule1
· Urmila Shrawankar2
Received: 22 July 2019 / Accepted: 27 April 2020 © Springer-Verlag GmbH Austria, part of Springer Nature 2020
Abstract Live migration helps to achieve resource consolidation and fault tolerance. It transfers VM storage together with VM memory and CPU status. During migration, a dirty page rate also delays the period of live migration, and it affects the performance of migration by increasing migration time, network bandwidth consumption, CPU processing overheads and application downtime. Experimental results after comparing with existing methods of VM live migration, reflects that with high data transfer rate, prolonged migration time and downtime make it infeasible to achieve seamless live migration. This paper provides a detailed analysis of the KVM strategy for live migration. It shows that the KVM iterative copy method, where all RAM data is marked as dirty and transferred during the first iteration, initially generating majority of additional overheads, mainly due to large data transfer. Based on these findings, the innovative Pareto Optimized framework [POF-SVLM] was developed and deployed as a standardized VM storage network, such as the Network Attached Storage (NAS), shared between the source and the target machine. Only the VM primary storage is to be transferred during live migration. Additionally, the architecture effectively monitors all I/O VM requests to determine unique pages in the primary memory that are only transferred during the iterations. All duplicate pages are downloaded directly from the NAS to the target machine. Detailed experimental evaluation shows that the proposed mechanism reduces the VM live migration overheads by 55–60%. Experimental results also shows that the downtime of POF-SVLM based live migration is in the range less than 60 s even for highly intense workloads. This is the most significant contribution
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Chetan Dhule [email protected] Urmila Shrawankar [email protected] https://sites.google.com/site/urmillaa/
1
Department of Information Technology, G. H. Raisoni College of Engineering, Nagpur, India
2
Department of Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur, India
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C. Dhule, U. Shrawankar
of POF-SVLM because since the downtime less than 60 s, the user will not be able to notice it and results in seamless VM live migration. Keywords Cloud computing · Virtualization · Virtual machine consolidation · Live migration · Pre-migration overheads · Post-migration overheads · Green consolidation · Green cloud computing Mathematics Subject Classification 68M14 · 68Q85
1 Introduction Virtualization has capacity of collocated workload isolation and the efficiency of resource multiplexing. Amazon Elastic Compute Cloud (EC2) Infrastructure Management (IaaS) uses virtualization to increase computing capacity, guarantee compliance with Service Standards (SLA) within delays, implementation and glossary search times. Generally, live mi
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