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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15914
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dc.contributor.authorBaliyan N.-
dc.contributor.authorKumar S.-
dc.date.accessioned2020-12-02T11:41:58Z-
dc.date.available2020-12-02T11:41:58Z-
dc.date.issued2013-
dc.identifier.citationProceedings of 2013 IEEE International Conference on Cloud Computing in Emerging Markets, CCEM 2013, (2013). Bangalore-
dc.identifier.isbn9781479900268-
dc.identifier.urihttps://doi.org/10.1109/CCEM.2013.6684439-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15914-
dc.description.abstractCloud computing is a business model which provides on demand services on the pay-per-use premise. Software as a Service (SaaS) is one of the delivery models for cloud computing, where software ownership by the SaaS provider is isolated from its use by the SaaS customer. The notion of quality is central to any service provision. Also, it is important to evaluate the quality of SaaS in order to be able to improve it. Traditional software engineering quality models are not effusively suitable for this purpose due to difference in the nature of software and service. In the past, a few approaches to service quality estimation have been proposed. Some of these approaches extend quality characteristics from existing quality models and even devise SaaS quality metrics, while others discuss quality around Service Level Agreement (SLA) and Quality of Service (QoS) parameters. In this paper, some representative quality factors have been identified by analyzing literature and a model based on fuzzy logic has been proposed to assess SaaS quality. Such a model of quality criteria may provide a ground for more comprehensive quality model which may assist a SaaS customer to choose a higher quality service from available services on cloud; the quality model may also serve as a guideline to SaaS provider to improve the quality of service provided. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.-
dc.description.sponsorshipet al.;IBM;IEEE Cloud Computing Initiative;IEEE Communications Society;IEEE Computer Society;IEEE Standards Association-
dc.language.isoen_US-
dc.publisherIEEE Computer Society-
dc.relation.ispartofProceedings of 2013 IEEE International Conference on Cloud Computing in Emerging Markets, CCEM 2013-
dc.subjectCloud-
dc.subjectFuzzy logic-
dc.subjectQuality factors-
dc.subjectQuality model-
dc.subjectSoftware as a service-
dc.titleQuality assessment of software as a service on cloud using fuzzy logic-
dc.typeConference Paper-
dc.scopusid56025655000-
dc.scopusid57201873447-
dc.affiliationBaliyan, N., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationKumar, S., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.identifier.conferencedetails2nd IEEE International Conference on Cloud Computing in Emerging Markets, CCEM 2013, Bangalore, 16-18 October 2013-
Appears in Collections:Conference Publications [CS]

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