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Lookup NU author(s): Ali Alssaiari,
Dr Nigel Thomas
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
We evaluate energy consumption under unknown service demands using three policies: task assignment based on guessing size (TAGS), the shortest queue strategy and random allocation in a homogeneous environment. We modelled these policies using performance evaluation processing algebra (PEPA) to derive numerical solutions. Our results show that servers running under TAGS consumes more energy than other policies in terms of total energy consumption. In contrast, TAGS consumes less energy than random allocation in terms of energy per job when the arrival rate is high and the job size is variable.
Author(s): Alssaiari A, Thomas N
Publication type: Article
Publication status: Published
Journal: Electronic Notes in Theoretical Computer Science
Online publication date: 10/11/2020
Acceptance date: 20/09/2020
Date deposited: 21/04/2021
ISSN (electronic): 1571-0661
Publisher: Elsevier BV
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