Mohammad Ali, HM, Al-Salim, AMA, Lawey, AQ et al. (2 more authors) (2016) Energy Efficient Resource Provisioning with VM Migration Heuristic for Disaggregated Server Design. In: 18th International Conference on Transparent Optical Networks (ICTON 2016). ICTON 2016, 10-14 Jul 2016, Trento, Italy. IEEE ISBN 9781509014675
Abstract
This article introduces an energy efficient heuristic that performs resource provisioning and Virtual Machine (VM) migration in the Disaggregated Server (DS) schema. The DS is a promising paradigm for future data centers where servers’ components are disaggregated at the hardware unit levels and resources of similar type are combined in type respective pools, such as processing pools, memory pools and IO pools. We examined 1000 VM requests that demand various processing, memory and IO requirements. Requests have exponentially distributed inter arrival time and with uniformly distributed service duration periods. Resources occupied by a certain VM are released when the VM finishes its service duration. The heuristic optimises VMs allocation and dynamically migrates existing VMs to occupy newly released energy efficient resources. We assess the energy efficiency of the heuristic by applying increasing service duration periods. The results of the numerical simulation indicate that our power savings can reach up to 55% when compared to our previous study where VM service duration is infinite and resources are not released.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 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. |
Keywords: | Virtual Machine, VM Migration, Disaggregated Server, data center, 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 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: | 17 Jun 2016 13:44 |
Last Modified: | 25 Oct 2016 07:36 |
Published Version: | http://doi.org/10.1109/ICTON.2016.7550696 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2016.7550696 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101027 |