Tso, FP, Oikonomou, K, Kavvadia, E and Pezaros, DP (2014) Scalable Traffic-Aware Virtual Machine Management for Cloud Data Centers. In: 2014 IEEE 34th International Conference on Distributed Computing Systems, June 30 - July 3 2014, Madrid.

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Abstract

Virtual Machine (VM) management is a powerful mechanism for providing elastic services over Cloud Data Centers (DC)s. At the same time, the resulting network congestion has
been repeatedly reported as the main bottleneck in DCs, even
when the overall resource utilization of the infrastructure remains low. However, most current VM management strategies are traffic-agnostic, while the few that are traffic-aware only concern a static initial allocation, ignore bandwidth oversubscription, or do not scale.

In this paper we present S-CORE, a scalable VM migration algorithm to dynamically reallocate VMs to servers while minimizing the overall communication footprint of active traffic flows. We formulate the aggregate VM communication as an optimization problem and we then define a novel distributed migration scheme that iteratively adapts to dynamic traffic changes. Through extensive simulation and implementation results, we show that S-CORE achieves significant (up to 87%) communication cost reduction while incurring minimal overhead and downtime.

Index Terms—Virtual Machine, Migration, Consolidation,
Communication Cost, Scalable, Traffic-Aware, Data Center Network

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Computer Science & Mathematics
Related URLs:	Author
Date Deposited:	15 Jan 2015 14:35
Last Modified:	13 Apr 2022 15:13
URI:	https://researchonline.ljmu.ac.uk/id/eprint/307

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