Kavanagh, R orcid.org/0000-0002-9357-2459 and Djemame, K orcid.org/0000-0001-5811-5263 (2019) Energy-aware Self-Adaptive Middleware for Heterogeneous Parallel Architectures. In: 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT). ISIICT 2018, 31 Oct - 01 Nov 2018, Amman, Jordan. IEEE ISBN 978-1-5386-6224-3
Abstract
Hardware in HPC environments in recent years has become ever more heterogeneous in order to improve computational performance and as an aspect of managing power and energy constraints. This increase in heterogeneity requires middleware abstractions to eliminate additional complexities that it brings. In this paper we present a self-adaptation framework which includes aspects such as automated configuration, deployment and redeployment of applications to different heterogeneous infrastructure. This therefore not only mitigates complexity but aims to take advantage of the existing heterogeneity. The overall result of this paper is a generic event driven self-adaptive system that manages application QoS at runtime, which includes the automatic migration of applications between different accelerated infrastructures. Discussion covers when this migration is appropriate and quantifies the likely benefits.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Crown. 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: | Self-adaptation; energy modelling; middleware; heterogeneous hardware architectures; application deployment |
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) |
Funding Information: | Funder Grant number EU - European Union 687584 |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Dec 2018 14:43 |
Last Modified: | 04 Mar 2019 11:53 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISIICT.2018.8613291 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138365 |