A Framework and Task Allocation Analysis for Infrastructure Independent Energy-Efficient Scheduling in Cloud Data Centers

Primas, B, Garraghan, P, Mckee, DW orcid.org/0000-0002-9047-7990 et al. (2 more authors) (2017) A Framework and Task Allocation Analysis for Infrastructure Independent Energy-Efficient Scheduling in Cloud Data Centers. In: 2017 IEEE International Conference on Cloud Computing Technology and Science. CloudCom 2017, 11-14 Dec 2017, Hong Kong, China. IEEE , pp. 178-185.

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Copyright, Publisher and Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Cloud Computing; Energy Efficiency; Workload Scheduling; Thermal-Aware Scheduling; Scheduling Heuristics; Combinatorial Optimization
Dates:
  • Published: 28 December 2017
  • Accepted: 7 October 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/K503836/1
Depositing User: Symplectic Publications
Date Deposited: 02 Aug 2018 10:02
Last Modified: 07 Sep 2018 09:35
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/CloudCom.2017.26
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