ABDM : Agent Based Live Migration of Virtual Machines in Cloud Computing For Multimedia Data

Authors

  • K. Syed Ibrahim  Research Scholar, Baharathidasan University, Tiruchirappalli, India
  • Dr. A. R. Mohamed Shanavas  Associate Professor, Jamal Mohamed College, Tiruchirappalli, India

DOI:

https://doi.org//10.32628/CSEIT18387

Keywords:

Exit Time, Live Migration, Virtual Machine, QoS

Abstract

Migration time is one of the metric to measure the performance of the algorithm for live migration. In this paper we have introduced a new parameter for live migration of virtual machines (VM) called the ‘Exit Time’ which is defined as the time to eject the state of one or more VMs from the source node. Exit Time defines how rapidly the VM can be taken out from the source node and its resources are freed for reallocating other tasks. We present an Agent Based Live Migration which disconnects the source node from the destination node during migration to reduce the exit time if the destination is slow. The source distributes the memory of VMs to multiple intermediate nodes organized by a middleware. Simultaneously, the destination collects and merges the VMs’ memory from the intermediate nodes. Thus exit from the source node is no longer resisted by the receiving speed of the destination. We support simultaneous live exit of multiple VMs and our ABDM implementation in the CloudSim platform reduces the exit time by a considerable amount against the traditional pre-copy and post-copy migration at the same time keeping the total migration time when the destination node is sluggish than the source

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-11-30

Issue

Volume 3, Issue 8, November-December-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. Syed Ibrahim, Dr. A. R. Mohamed Shanavas, " ABDM : Agent Based Live Migration of Virtual Machines in Cloud Computing For Multimedia Data, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 8, pp.09-17, November-December-2018. Available at doi : https://doi.org/10.32628/CSEIT18387