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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/34233

Title: Scalable traffic-aware virtual machine management for cloud data centers
Authors: Tso, Fung Po
Oikonomou, Konstantinos
Kavvadia, Eleni
Pezaros, Dimitrios P.
Keywords: Virtual machine
Migration
Consolidation
Communication cost
Scalable
Traffic-aware
Data center network
Issue Date: 2014
Publisher: © IEEE
Citation: TSO, F.P. ... et al, 2014. Scalable traffic-aware virtual machine management for cloud data centers. IN: IEEE 34th International Conference on Distributed Computing Systems (ICDCS), Madrid, Spain, 30 June-3 July 2014, pp.238-247.
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.
Description: © 2016 IEEE. 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.
Version: Accepted for publication
DOI: 10.1109/ICDCS.2014.32
URI: https://dspace.lboro.ac.uk/2134/34233
Publisher Link: https://doi.org/10.1109/ICDCS.2014.32
ISSN: 1063-6927
Appears in Collections:Conference Papers and Presentations (Computer Science)

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