Advertisement

A Comparative Analysis of Live Migration Techniques for Load Management in Cloud

  • Koyela Chakrabarti
  • Koushik Majumder
  • Subhanjan Sarkar
  • Mihir Sing
  • Santanu Chatterjee
Chapter
  • 26 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)

Abstract

Live migration is a popular technique used in cloud computing to optimally utilize hardware resources dynamically in the system and reduce unnecessary power consumption in cloud data centers. This paper discusses several prominent live migration techniques applied in cloud computing that aim to evenly distribute load in the system or to consolidate inactive servers. Each algorithm attempts to reduce the overhead of migration by either minimizing the number of migrations or decreasing the application downtime or scheduling the migration while taking available link bandwidth into consideration. A brief summary of each, followed by a comparative account in terms of the major features of the algorithms and advantages and shortcomings of each algorithm is tabulated. The paper is finally concluded by mentioning important points to be taken care of while migrating an application from one physical host to the other in order o achieve better performance.

Keywords

Load balancing Cloud computing Server consolidation Live migration Pre-copy Post-copy 

References

  1. 1.
    Feller E, Morin C, Esnault A (2012) A case for fully decentralized dynamic VM consolidation in clouds. In: 4th IEEE international conference on cloud computing technology and science (Cloudcom), Taipei, Taiwan, pp 26–33Google Scholar
  2. 2.
    Xiao Z, Song W, Chen Q (2013) Dynamic resource allocation using virtual machines for cloud computing environment. IEEE Trans Parallel Distrib Syst 24(6):1107–1117CrossRefGoogle Scholar
  3. 3.
    Shen H (2017) RIAL: resource intensity aware load balancing in clouds. IEEE Trans Cloud ComputGoogle Scholar
  4. 4.
    Hu L, Zhao J, Xu G, Ding Y, Chu J (2013) HMDC: live virtual machine migration based on hybrid memory copy and delta compression. Appl Math Inf Sci 7:639–646CrossRefGoogle Scholar
  5. 5.
    Duggan M, Duggan J, Howley E, Barrett E (2017) A network aware approach for scheduling of virtual machine migration during peak loads. Clust Comput 20(3):2083–2094CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Koyela Chakrabarti
    • 1
  • Koushik Majumder
    • 1
  • Subhanjan Sarkar
    • 1
  • Mihir Sing
    • 1
  • Santanu Chatterjee
    • 1
  1. 1.Department of Computer Science and EngineeringWest Bengal University of TechnologyKolkataIndia

Personalised recommendations