Multi-Criteria IaaS service selection based on QoS history

Rehman, ZU; Hussain, OK; Hussain, FK

Multi-Criteria IaaS service selection based on QoS history

Rehman, ZU Hussain, OK Hussain, FK

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Advanced Information Networking and Applications, AINA, 2013, pp. 1129 - 1135
Issue Date:: 2013-08-08

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Field	Value	Language
dc.contributor.author	Rehman, ZU	en_US
dc.contributor.author	Hussain, OK	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.date.issued	2013-08-08	en_US
dc.identifier.citation	Proceedings - International Conference on Advanced Information Networking and Applications, AINA, 2013, pp. 1129 - 1135	en_US
dc.identifier.isbn	9780769549538	en_US
dc.identifier.issn	1550-445X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28356
dc.description.abstract	The growing number of cloud services have made service selection a challenging decision-making problem by providing wide ranging choices for cloud service consumers. This necessitates the use of formal decision making methodologies to assist a decision maker in selecting the service that best fulfils the user's requirements. In this paper, we present a cloud service selection methodology that utilizes QoS history over different time periods, performs Multi-Criteria Decision Analysis to rank all cloud services in each time period in accordance with user preferences before aggregating the results to determine the overall service rank of all the available services for cloud service selection. © 2013 IEEE.	en_US
dc.relation.ispartof	Proceedings - International Conference on Advanced Information Networking and Applications, AINA	en_US
dc.relation.isbasedon	10.1109/AINA.2013.158	en_US
dc.title	Multi-Criteria IaaS service selection based on QoS history	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Barcelona, Spain	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

Abstract:

The growing number of cloud services have made service selection a challenging decision-making problem by providing wide ranging choices for cloud service consumers. This necessitates the use of formal decision making methodologies to assist a decision maker in selecting the service that best fulfils the user's requirements. In this paper, we present a cloud service selection methodology that utilizes QoS history over different time periods, performs Multi-Criteria Decision Analysis to rank all cloud services in each time period in accordance with user preferences before aggregating the results to determine the overall service rank of all the available services for cloud service selection. © 2013 IEEE.

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http://hdl.handle.net/10453/28356