Performance-driven live migration of multiple virtual machines in datacenters

Sarker, Tusher Kumer & Tang, Maolin (2013) Performance-driven live migration of multiple virtual machines in datacenters. In Wang, Shuliang, Zhu, Xingquan, & He, Tingting (Eds.) Proceedings of the 2013 IEEE International Conference on Granular Computing (GrC), IEEE, Beijing Institute of Technology, Beijing, China, pp. 253-258.

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Abstract

Live migration of multiple Virtual Machines (VMs) has become an indispensible management activity in datacenters for application performance, load balancing, server consolidation. While state-of-the-art live VM migration strategies focus on the improvement of the migration performance of a single VM, little attention has been given to the case of multiple VMs migration. Moreover, existing works on live VM migration ignore the inter-VM dependencies, and underlying network topology and its bandwidth. Different sequences of migration and different allocations of bandwidth result in different total migration times and total migration downtimes. This paper concentrates on developing a multiple VMs migration scheduling algorithm such that the performance of migration is maximized. We evaluate our proposed algorithm through simulation. The simulation results show that our proposed algorithm can migrate multiple VMs on any datacenter with minimum total migration time and total migration downtime.

Impact and interest:

5 citations in Scopus
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2 citations in Web of Science®

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ID Code: 67602
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Datacenter, Live VM migration, Total migration time, Total migration downtime, Scheduling, Migration deadlock
DOI: 10.1109/GrC.2013.6740417
ISBN: 9781479912810
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 20 Feb 2014 22:30
Last Modified: 03 Apr 2014 07:15

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