Mohammad Ali, HM, Lawey, AQ, Elgorashi, TEH et al. (1 more author) (2015) Energy Efficient Disaggregated Servers for Future Data Centers. In: Networks and Optical Communications (NOC) 2015. The 20th European Conference on Network and Optical Communications, NOC 2015, 30 Jun - 02 Jul 2015, University College London. IEEE ISBN 978-1-4799-8798-6
Abstract
With the dawn of cloud computing, data centers’ power consumption has received increased attention. In this paper we evaluate the energy efficiency potential of exploiting the concept of Disaggregated Server (DS) design in data centers for efficient resource provisioning. A DS, is a new approach for future racks where servers are disaggregated and resources, such as processors, memory and IO ports are arranged in resource pools constructing processing pools, memory pools and IO pools. We developed a mixed integer linear programming (MILP) model for energy minimization of the virtual machine (VM) placement problem in data centres implementing DS approach. The results show that the average power savings are up to 49% for the different VM types considered.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. |
Keywords: | Resource provisioning; rack scale server; data center; VM placement; energy efficiency |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/H040536/1 EPSRC EP/K016873/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jul 2015 13:30 |
Last Modified: | 20 Jan 2018 23:57 |
Published Version: | http://dx.doi.org/10.1109/NOC.2015.7238630 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/NOC.2015.7238630 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88013 |