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

Ikram, Mohammed Abdulaziz; Sharma, Nabin; Raza, Muhammad; Hussain, Farookh Khadeer

doi:10.1007/978-3-030-15032-7_84

Cited by 1 publication

(2 citation statements)

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“…The main contribution of this work is for evaluation Cloud SaaS providers based on subjectively quality attributes. In our previous work [11], [12], [13], the Cloud SaaS ranking system proposed to help Cloud SaaS consumer for ranking and sorting the service providers based on quantitative quality attributes requested by service consumer. Our proposed system consists of three main parts as shown in Fig.…”

Section: Linguistic-based Evaluation System Frameworkmentioning

confidence: 99%

“…In this study, a new technique that improves the evaluation of Cloud SaaS provider is suggested. The proposed approach is existing works that proposed in our previous works for ranking the services based on the consumer's preferences [11], [12], [13]. Our proposed approach introduces the main quality evaluation attributes based on asking expert people of selection Cloud SaaS provider as well as reviewing the literature on the field of Cloud SaaS selection.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards Linguistic-based Evaluation System of Cloud Software as a Service (SaaS) Provider

Ikram¹,

Alturki²,

Hussain³

2022

IJACSA

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Cloud Software as a Service (SaaS) is a type of delivering software application by using Cloud computing Infrastructure services. Cloud SaaS used the global Internet connection to offer its services to the client consumers. The selection of Cloud SaaS provider is based on the evaluation mechanism that the Cloud SaaS consumer manage before making the service contract. In this paper, the linguistic-based evaluation of Cloud SaaS quality attributes has been proposed to help the consumer to assess the service for optimal service selection. Our proposed approach has been developed by the combinations of fuzzy logic and TOPSIS MCDM methods. The proposed approach helps the Cloud SaaS consumer to select the optimal service Cloud SaaS service provider. The case study has been proposed in order to demonstrate the proposed approach.

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Section: Linguistic-based Evaluation System Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%