Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/42318
Title: A Bi-objective Scheduling Approach for Energy Optimisation of Executing and Transmitting HPC Applications in Decentralised Multi-cloud Systems
Authors: Alsughayyir, Aeshah
Erlebach, Thomas
First Published: 1-Dec-2017
Presented at: 16th International Symposium on Parallel and Distributed Computing (ISPDC), Innsbruck, Austria
Start Date: 3-Jul-2017
End Date: 6-Jul-2017
Publisher: IEEE
Citation: 16th International Symposium on Parallel and Distributed Computing (ISPDC-2017), 2017, pp. 44-53 (10)
Abstract: [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].
DOI Link: 10.1109/ISPDC.2017.27
ISSN: 2379-5352
Links: https://ieeexplore.ieee.org/document/8121618/
http://hdl.handle.net/2381/42318
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2017, IEEE. Deposited with reference to the publisher’s open access archiving policy. (http://www.rioxx.net/licenses/all-rights-reserved)
Appears in Collections:Published Articles, Dept. of Computer Science

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