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Energy Consumption by Servers under Unknown Service Demand

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

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).

Abstract

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.

Publication metadata

Author(s): Alssaiari A, Thomas N

Publication type: Article

Publication status: Published

Journal: Electronic Notes in Theoretical Computer Science

Year: 2020

Volume: 353

Pages: 21-38

Online publication date: 10/11/2020

Acceptance date: 20/09/2020

Date deposited: 21/04/2021

ISSN (electronic): 1571-0661

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.entcs.2020.09.017

DOI: 10.1016/j.entcs.2020.09.017

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