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A Bi-objective Scheduling Approach for Energy Optimisation of Executing and Transmitting HPC Applications in Decentralised Multi-cloud Systems

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conference contribution
posted on 29.05.2018, 10:19 by Aeshah Alsughayyir, Thomas Erlebach
[First paragraph] The advent of cloud computing, although it greatly supports virtualised environments for applications to be executed efficiently in low-cost hosting, has turned energy wasting and overconsumption issues into major concerns. Cloud infrastructure is built upon a large number of servers, including high performance computing (HPC) and massive storage devices, that need huge energy supplies. In addition, it raises a concern regarding the reliability of resource utilisation, as cloud resources are naturally prone to failures [1].

Funding

The first author would like to thank the department of computer science in Taibah University in Medina for partially supporting this work.

History

Citation

16th International Symposium on Parallel and Distributed Computing (ISPDC-2017), 2017, pp. 44-53 (10)

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

16th International Symposium on Parallel and Distributed Computing (ISPDC), Innsbruck, Austria

Version

AM (Accepted Manuscript)

Published in

16th International Symposium on Parallel and Distributed Computing (ISPDC-2017)

Publisher

IEEE

issn

2379-5352

isbn

978-1-5386-0862-3

Copyright date

2017

Available date

29/05/2018

Publisher version

https://ieeexplore.ieee.org/document/8121618/

Editors

Prodan, R.;Pop, F.;Mundani, R. P.

Temporal coverage: start date

03/07/2017

Temporal coverage: end date

06/07/2017

Language

en