A Fuzz Logic-Based Cloud Computing Provider's Evaluation and Recommendation Model

被引:0
作者
Hasan, Mohd Hilmi [1 ]
Aziz, Norshakirah A. [1 ]
Akhir, Emelia Akashah P. [1 ]
Burhan, Nur Zarith Natasya Mohd [1 ]
Razali, Razulaimi [2 ]
机构
[1] Univ Teknol PETRONAS, Comp & Informat Sci Dept, Ctr Res Data Sci, Seri Iskandar 32610, Perak, Malaysia
[2] Univ Teknol MARA, Bandar Tun Razak 26400, Pahang, Malaysia
来源
RECENT TRENDS IN DATA SCIENCE AND SOFT COMPUTING, IRICT 2018 | 2019年 / 843卷
关键词
Cloud computing provider's recommendation; Recommendation system; Fuzzy logic recommendation; Fuzzy recommendation system; UNCERTAINTY; SYSTEMS;
D O I
10.1007/978-3-319-99007-1_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:230 / 239
页数:10
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