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Modelling Energy Efficient Server Management Policies in PEPA

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



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.


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


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