Solis Moreno, I, Yang, R, Xu, J orcid.org/0000-0002-4598-167X et al. (1 more author) (2013) Improved energy-efficiency in cloud datacenters with interference-aware virtual machine placement. In: Proceedings of the 11th IEEE International Symposium on Autonomous Decentralized Systems. 11th IEEE International Symposium on Autonomous Decentralized Systems, 03-08 Mar 2013, Mexico City, Mexico. , pp. 145-152. ISBN 978-1-4673-5069-3
Abstract
Virtualization is one of the main technologies used for improving resource efficiency in datacenters; it allows the deployment of co-existing computing environments over the same hardware infrastructure. However, the co-existing of environments — along with management inefficiencies — often creates scenarios of high-competition for resources between running workloads, leading to performance degradation. This phenomenon is known as Performance Interference, and introduces a non-negligible overhead that affects both a datacenter's Quality of Service and its energy-efficiency. This paper introduces a novel approach to workload allocation that improves energy-efficiency in Cloud datacenters by taking into account their workload heterogeneity. We analyze the impact of performance interference on energy-efficiency using workload characteristics identified from a real Cloud environment, and develop a model that implements various decision-making techniques intelligently to select the best workload host according to its internal interference level. Our experimental results show reductions in interference by 27.5% and increased energy-efficiency up to 15% in contrast to current mechanisms for workload allocation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 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. |
Keywords: | Interference; Servers; Energy efficiency; Resource management; Computational modeling; Google; Energy consumption |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Oct 2020 15:07 |
Last Modified: | 20 Jun 2021 08:38 |
Status: | Published |
Identification Number: | 10.1109/ISADS.2013.6513411 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166908 |