Dynamic Ranking System of Cloud SaaS Based on Consumer Preferences - Find SaaS M2NFCP

Ikram, MA; Sharma, N; Raza, M; Hussain, FK

Dynamic Ranking System of Cloud SaaS Based on Consumer Preferences - Find SaaS M2NFCP

Ikram, MA Sharma, N

Raza, M Hussain, FK

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: Advances in Intelligent Systems and Computing, 2020, 926, pp. 1000-1010
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Ikram, MA
dc.contributor.author	Sharma, N https://orcid.org/0000-0003-0841-1245
dc.contributor.author	Raza, M
dc.contributor.author	Hussain, FK
dc.date	2019-03-27
dc.date.accessioned	2021-05-05T03:14:09Z
dc.date.available	2021-05-05T03:14:09Z
dc.date.issued	2020-01-01
dc.identifier.citation	Advances in Intelligent Systems and Computing, 2020, 926, pp. 1000-1010
dc.identifier.isbn	9783030150310
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10453/148689
dc.description.abstract	Software as a Service (SaaS) is a type of software application that runs and operates over a cloud computing infrastructure. SaaS has grown more dramatically compared to other cloud services delivery models (i.e. PaaS and IaaS) in terms of the number of available services. This rapid growth in SaaS brings a lot of challenges for consumers in selecting the optimum services. The aim of this article is to propose a ranking system for SaaS based on consumer’s preferences called Find SaaS M2NFCP. The proposed ranking system is based on measuring the shortest distance to the minimum and maximum of the selected consumer’s non-functional preferences. In addition, linguistic terms are taken into account to weight the most important non-functional preferences. The proposed system is evaluated against traditional SaaS ranking systems using data collected from online CRM SaaS and achieved improved results.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.relation.ispartof	International Conference on Advanced Information Networking and Applications
dc.relation.isbasedon	10.1007/978-3-030-15032-7_84
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Dynamic Ranking System of Cloud SaaS Based on Consumer Preferences - Find SaaS M2NFCP
dc.type	Conference Proceeding
utslib.citation.volume	926
utslib.location.activity	Japan
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/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-05-05T03:14:07Z
pubs.finish-date	2019-03-29
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
pubs.start-date	2019-03-27
pubs.volume	926
dc.location	Switzerland

Abstract:

Software as a Service (SaaS) is a type of software application that runs and operates over a cloud computing infrastructure. SaaS has grown more dramatically compared to other cloud services delivery models (i.e. PaaS and IaaS) in terms of the number of available services. This rapid growth in SaaS brings a lot of challenges for consumers in selecting the optimum services. The aim of this article is to propose a ranking system for SaaS based on consumer’s preferences called Find SaaS M2NFCP. The proposed ranking system is based on measuring the shortest distance to the minimum and maximum of the selected consumer’s non-functional preferences. In addition, linguistic terms are taken into account to weight the most important non-functional preferences. The proposed system is evaluated against traditional SaaS ranking systems using data collected from online CRM SaaS and achieved improved results.

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http://hdl.handle.net/10453/148689