Managing high-performance computing applications as an on-demand service on federated clouds

Hou, Z; Wang, Y; Sui, Y; Gu, J; Zhao, T; Zhou, X

Managing high-performance computing applications as an on-demand service on federated clouds

Hou, Z Wang, Y Sui, Y

Gu, J Zhao, T Zhou, X

Permalink

Publication Type:: Journal Article
Citation:: Computers and Electrical Engineering, 2018, 67 pp. 579 - 595
Issue Date:: 2018-04-01

Closed Access

	Filename	Description	Size
	1-s2.0-S0045790617319201-main.pdf	Published Version	1.69 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Hou, Z	en_US
dc.contributor.author	Wang, Y	en_US
dc.contributor.author	Sui, Y https://orcid.org/0000-0002-9510-6574	en_US
dc.contributor.author	Gu, J	en_US
dc.contributor.author	Zhao, T	en_US
dc.contributor.author	Zhou, X	en_US
dc.date.issued	2018-04-01	en_US
dc.identifier.citation	Computers and Electrical Engineering, 2018, 67 pp. 579 - 595	en_US
dc.identifier.issn	0045-7906	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131236
dc.description.abstract	© 2018 Elsevier Ltd There are several challenges (e.g., imbalance between supply and demand of hardware resources and software licenses, and usability) under modern High-Performance Computing (HPC) environment. As a means of providing an on-demand service for end users, we propose a Software-as-a-Service (SaaS) approach for managing commercial HPC applications as a Web-based service deployed on top of federated clouds. Some inter-trusted private or public clouds are federated to create a unified service platform with a large amount of hardware resources. In addition, an on-demand, pay-per-use model for Web-service-enabled HPC applications is proposed. Further, we provide an economic analysis of the proposed approach from the perspective of end users, cloud service providers, and Independent Software Vendors (ISVs). We conduct a simulation using two HPC application services on three federated clouds. A combined Quality of Service (QoS) and economic evaluation demonstrates a better effect of the proposed approach comparing with existing HPC platforms.	en_US
dc.relation.ispartof	Computers and Electrical Engineering	en_US
dc.relation.isbasedon	10.1016/j.compeleceng.2018.02.036	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Managing high-performance computing applications as an on-demand service on federated clouds	en_US
dc.type	Journal Article
utslib.citation.volume	67	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	67	en_US

Abstract:

© 2018 Elsevier Ltd There are several challenges (e.g., imbalance between supply and demand of hardware resources and software licenses, and usability) under modern High-Performance Computing (HPC) environment. As a means of providing an on-demand service for end users, we propose a Software-as-a-Service (SaaS) approach for managing commercial HPC applications as a Web-based service deployed on top of federated clouds. Some inter-trusted private or public clouds are federated to create a unified service platform with a large amount of hardware resources. In addition, an on-demand, pay-per-use model for Web-service-enabled HPC applications is proposed. Further, we provide an economic analysis of the proposed approach from the perspective of end users, cloud service providers, and Independent Software Vendors (ISVs). We conduct a simulation using two HPC application services on three federated clouds. A combined Quality of Service (QoS) and economic evaluation demonstrates a better effect of the proposed approach comparing with existing HPC platforms.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/131236