Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Modelling Energy Efficient Server Management Policies in PEPA

Lookup NU author(s): Ali Alssaiari, Dr Nigel ThomasORCiD

Downloads

Licence

This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by ACM, 2017.

For re-use rights please refer to the publisher's terms and conditions.

Abstract

Power inefficiency has become a major concern for large scale computing providers. In this paper, we model turning servers on and off to keep a balance between capacity and energy saving. Several heuristic-based switching policies are introduced with a view to balance the cost between power saving and performance. Models are specified using a Markovian process algrebra, which allows explicit representation of system behaviour and facilitates numerical analysis using the supporting tools.

Publication metadata

Author(s): Alssaiari A, JM Gining RA, Thomas N

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 3rd International Workshop on Energy-aware Simulation (ENERGY-SIM’17)

Year of Conference: 2017

Pages: 43-48

Online publication date: 18/04/2017

Acceptance date: 08/02/2017

Date deposited: 25/04/2017

Publisher: ACM

URL: https://doi.org/10.1145/3053600.3053609

DOI: 10.1145/3053600.3053609

Notes: Published in: ICPE '17 Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450348997

Share