Performance and Energy-Based Cost Prediction of Virtual Machines Auto-Scaling in Clouds

Aldossary, M and Djemame, K orcid.org/0000-0001-5811-5263 (2018) Performance and Energy-Based Cost Prediction of Virtual Machines Auto-Scaling in Clouds. In: Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018). 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018), 29-31 Aug 2018, Prague, Czech Republic. IEEE , pp. 502-509. ISBN 978-1-5386-7383-6

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Item Type: Proceedings Paper
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© 2018 IEEE. This is an author produced version of a paper published in Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018). 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. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Cloud Computing; Cost Prediction; Workload Prediction; Auto Scaling; Power Consumption; Energy Efficiency
Dates:
  • Published: 22 October 2018
  • Published (online): 22 October 2018
  • Accepted: 5 May 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
687584
Depositing User: Symplectic Publications
Date Deposited: 17 Jul 2018 13:14
Last Modified: 18 Jan 2019 11:28
Status: Published
Publisher: IEEE
Identification Number: 10.1109/SEAA.2018.00086
Open Archives Initiative ID (OAI ID):

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