Application ofImproved K-Medians forVMMigration

Authors

  • Soni P Department of Computer Science and Engineering SRIST, RGPV, Jabalpur, India
  • MudgalMA Department of Computer Science and Engineering SRIST, RGPV, Jabalpur, India

Keywords:

Cloud Computing, Fault Tolerance,, Virtual Machines Migration, Resource Management

Abstract

Use of Data mining techniques for managing Virtual Machine migration has been used in the past. Many researchers have applied different data mining techniques for the same and has been proven to be encouraging. Specially in cloud environment where thousands of virtual machines are employed at a time. For this proactive evaluation methods has been used by many researchers In this paper, such methods have been studied and improved k-median technique has been proposed for such migration. The results obtained discussed are showing better accuracy and performance.

References

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[5] Nitishchandra Vyas1 , Prof. Amit Chauhan2 A Survey on Virtual Machine Migration Techniques In Cloud Computing International Journal of Application or Innovation in Engineering & Management (IJAIEM) Web Site: www.ijaiem.org Email: editor@ijaiem.org Volume 5, Issue 5, May 2016 ISSN 2319 – 4847

[6] Sandeep Kaur, Prof. Vaibhav Pandey A Survey of Virtual Machine Migration Techniques in Cloud Computing Computer Engineering and Intelligent Systems www.iiste.org ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online) Vol.6, No.7, 2015

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Published

2025-11-25

How to Cite

[1]
P. Soni and A. Mudgal, “Application ofImproved K-Medians forVMMigration”, Int. J. Comp. Sci. Eng., vol. 7, no. 10, pp. 58–63, Nov. 2025.