Energy-aware cost prediction and pricing of virtual machines in cloud computing environments

Aldossary, M orcid.org/0000-0001-6772-700X, Djemame, K orcid.org/0000-0001-5811-5263, Alzamil, I et al. (3 more authors) (2019) Energy-aware cost prediction and pricing of virtual machines in cloud computing environments. Future Generation Computer Systems, 93. pp. 442-459. ISSN 0167-739X

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Copyright, Publisher and Additional Information: Crown Copyright © 2018 Published by Elsevier B.V. All rights reserved. This is an author produced version of a paper published in Future Generation Computer Systems. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Cloud computing; Energy efficiency; Cost estimation; Workload prediction; Energy prediction; Pricing schemes
Dates:
  • Published: April 2019
  • Accepted: 18 October 2018
  • Published (online): 9 November 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EU - European Union687584
Depositing User: Symplectic Publications
Date Deposited: 15 Nov 2018 13:56
Last Modified: 09 Nov 2019 01:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.future.2018.10.027

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