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General Information
    • ISSN: 2010-3700
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus(since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2018 Vol.8(5): 507-512 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.5.737

Performance of Memory Virtualization Using Hybrid Live Migration of Virtual Machines

Pvss Gangadhar, Ashok Kumar Hota, M. Venkateswara Rao, and V. Venkateswara Rao
Abstract—Today, Infrastructure-as-a-service providers are trying to minimize the cost of data center operations, while maintaining the Service Level Agreements. This can be achieved by one of the advanced state-of-the-art services of virtualization - the live migration capability. Live migration is defined as the process of transferring an active virtual machine from one physical machine to another without any disconnection. This is achieved by transferring all of the encapsulated states of the VM from one host to another. It has become an essential tool for efficient management of resources in a data center by enabling server consolidation and load balancing. There are two classical migration techniques, namely - pre-copy and post-copy, which employ different memory transfer mechanism during the offloading of a VM. In this paper, we propose a novel hybrid live migration technique by combining the existing pre-copy and post-copy approaches. Compare to its counterparts, our hybrid technique is a fast, efficient and a reliable migration technique.

Index Terms—Cloud computing, IaaS, virtualization, virtual machine, data center, physical memory, load balancing, cluster, resource allocation, writable working set.

Pvss Gangadhar is with Gitam University, Visakhapatnam, India (e-mail: pvss.gangadhar@nic.in).
Ashok Kumar Hota is with F, NIC, MEITY, Govt. of India (e-mail: ak.hota@nic.in).
M. Venkateswara Rao is with the Dept. of IT, Gitam University, Visakhapatnam, India (e-mail: mandapti_venkat@yahoo.com).
V. Venkateswara Rao is with the Dept. of CSE, Sri Vasavi Engineering College, Tadepalligudem, India (e-mail: venkatvedula2017@gmail.com).

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Cite: Pvss Gangadhar, Ashok Kumar Hota, M. Venkateswara Rao, and V. Venkateswara Rao, "Performance of Memory Virtualization Using Hybrid Live Migration of Virtual Machines," International Journal of Machine Learning and Computing vol. 8, no. 5, pp. 507-512, 2018.

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