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Energy Saving in Data Center Servers Using Optimal Scheduling to Ensure QoS

Authors:
Conor McBay
Gerard Parr
Sally McClean

Keywords: cloud computing, energy, DVFS, sleep mode, scheduling, quality-of-service

Abstract:
With the rise in popularity of cloud computing the amount of energy consumed by the cloud computing data centres has increased dramatically. Cloud service providers are aiming to reduce their carbon footprint by reducing the energy their data centres produce, while maintain an expected Quality-of-Service adhering to set Service Level Agreements. In this paper, we present our suggested approach for using previously researched energy efficiency techniques, particularly Dynamic Voltage/Frequency Scaling and sleep states, more efficiently through the aid of an SLA-based priority scheduling algorithm, and the results we expect from our research.

Pages: 57 to 60

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-460-2

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016