A fuzz logic-based cloud computing provider�s evaluation and recommendation model
The growing number of cloud computing providers has made the selection process difficult and time consuming. This motivates many research to propose cloud computing recommendation system. However, generating an overall rating of a provider based on accumulation of several performance parameters invo...
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2019
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my.utp.eprints.222412019-02-28T02:47:41Z A fuzz logic-based cloud computing provider�s evaluation and recommendation model Hasan, M.H. Aziz, N.A. Akhir, E.A.P. Burhan, N.Z.N.M. Razali, R. The growing number of cloud computing providers has made the selection process difficult and time consuming. This motivates many research to propose cloud computing recommendation system. However, generating an overall rating of a provider based on accumulation of several performance parameters involves uncertainties especially when the computation comprises network-related performance parameters. Hence, this paper proposes a fuzzy logic-based model that evaluates providers based on downlink, uplink and latency parameters, and determines the best provider. The model was constructed based on historical data of the real cloud computing providers implementation. The model was compared against non-fuzzy model, and it showed that the proposed fuzzy logic-based model is better in terms of accuracy. This work implies faster and accurate selection of cloud computing provider. © Springer Nature Switzerland AG 2019. 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053933841&doi=10.1007%2f978-3-319-99007-1_22&partnerID=40&md5=c46bc87fac896bcfc6d970ecf268120b Hasan, M.H. and Aziz, N.A. and Akhir, E.A.P. and Burhan, N.Z.N.M. and Razali, R. (2019) A fuzz logic-based cloud computing provider�s evaluation and recommendation model. Advances in Intelligent Systems and Computing, 843 . pp. 230-239. http://eprints.utp.edu.my/22241/ |
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The growing number of cloud computing providers has made the selection process difficult and time consuming. This motivates many research to propose cloud computing recommendation system. However, generating an overall rating of a provider based on accumulation of several performance parameters involves uncertainties especially when the computation comprises network-related performance parameters. Hence, this paper proposes a fuzzy logic-based model that evaluates providers based on downlink, uplink and latency parameters, and determines the best provider. The model was constructed based on historical data of the real cloud computing providers implementation. The model was compared against non-fuzzy model, and it showed that the proposed fuzzy logic-based model is better in terms of accuracy. This work implies faster and accurate selection of cloud computing provider. © Springer Nature Switzerland AG 2019. |
| format |
Article |
| author |
Hasan, M.H. Aziz, N.A. Akhir, E.A.P. Burhan, N.Z.N.M. Razali, R. |
| spellingShingle |
Hasan, M.H. Aziz, N.A. Akhir, E.A.P. Burhan, N.Z.N.M. Razali, R. A fuzz logic-based cloud computing provider�s evaluation and recommendation model |
| author_facet |
Hasan, M.H. Aziz, N.A. Akhir, E.A.P. Burhan, N.Z.N.M. Razali, R. |
| author_sort |
Hasan, M.H. |
| title |
A fuzz logic-based cloud computing provider�s evaluation and recommendation model |
| title_short |
A fuzz logic-based cloud computing provider�s evaluation and recommendation model |
| title_full |
A fuzz logic-based cloud computing provider�s evaluation and recommendation model |
| title_fullStr |
A fuzz logic-based cloud computing provider�s evaluation and recommendation model |
| title_full_unstemmed |
A fuzz logic-based cloud computing provider�s evaluation and recommendation model |
| title_sort |
fuzz logic-based cloud computing provider�s evaluation and recommendation model |
| publishDate |
2019 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053933841&doi=10.1007%2f978-3-319-99007-1_22&partnerID=40&md5=c46bc87fac896bcfc6d970ecf268120b http://eprints.utp.edu.my/22241/ |
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13.211869 |