Iaas cloud selection using MCDM methods

Rehman, ZU; Hussain, OK; Hussain, FK

Iaas cloud selection using MCDM methods

Rehman, ZU Hussain, OK Hussain, FK

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 9th IEEE International Conference on E-Business Engineering, ICEBE 2012, 2012, pp. 246 - 251
Issue Date:: 2012-12-01

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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	2012-12-01	en_US
dc.identifier.citation	Proceedings - 9th IEEE International Conference on E-Business Engineering, ICEBE 2012, 2012, pp. 246 - 251	en_US
dc.identifier.isbn	9780769548098	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22959
dc.description.abstract	The popularity of cloud computing and IaaS has spawned numerous cloud service providers which offer various cloud services, including IaaS, to cloud users. These services vary considerably in terms of their performance and cost and the selection of a suitable cloud service becomes a complex decision making issue for a cloud service user. Furthermore, the cloud services have several attributes all of which are the criteria that have to be taken into account when making a service selection decision. In the presence of these multiple criteria, a compromise has to be made because in most real-world situations, no single service exceeds all other services in all criteria but one service may be better in terms of some of the criteria while other services may outperform it if judged on the basis of the remaining criteria. Multi-criteria decision-making is a sub-field in operations research that deals with the techniques to solve such multi-criteria problems. There are several methods of multicriteria decision-making. In this paper, we use key multi-criteria decision-making methods for IaaS cloud service selection in a case study which contains five basic performance measurements of thirteen cloud services by a third party monitoring service. We demonstrate the use of these multi-criteria methods for cloud service selection and compare the results obtained by using each method to find out how the choice of a particular MCDM method affects the outcome of the decision-making process for IaaS cloud service selection. © 2012 IEEE.	en_US
dc.relation.ispartof	Proceedings - 9th IEEE International Conference on E-Business Engineering, ICEBE 2012	en_US
dc.relation.isbasedon	10.1109/ICEBE.2012.47	en_US
dc.title	Iaas cloud selection using MCDM methods	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Hangzhou	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 popularity of cloud computing and IaaS has spawned numerous cloud service providers which offer various cloud services, including IaaS, to cloud users. These services vary considerably in terms of their performance and cost and the selection of a suitable cloud service becomes a complex decision making issue for a cloud service user. Furthermore, the cloud services have several attributes all of which are the criteria that have to be taken into account when making a service selection decision. In the presence of these multiple criteria, a compromise has to be made because in most real-world situations, no single service exceeds all other services in all criteria but one service may be better in terms of some of the criteria while other services may outperform it if judged on the basis of the remaining criteria. Multi-criteria decision-making is a sub-field in operations research that deals with the techniques to solve such multi-criteria problems. There are several methods of multicriteria decision-making. In this paper, we use key multi-criteria decision-making methods for IaaS cloud service selection in a case study which contains five basic performance measurements of thirteen cloud services by a third party monitoring service. We demonstrate the use of these multi-criteria methods for cloud service selection and compare the results obtained by using each method to find out how the choice of a particular MCDM method affects the outcome of the decision-making process for IaaS cloud service selection. © 2012 IEEE.

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http://hdl.handle.net/10453/22959