Logo

A fuzz logic-based cloud computing provider�s evaluation and recommendation model

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.

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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.

Item Type:Article
Impact Factor:cited By 0; Conference of 3rd International Conference of Reliable Information and Communication Technology, IRICT 2018 ; Conference Date: 23 June 2018 Through 24 June 2018; Conference Code:218299
Uncontrolled Keywords:Cloud computing; Computer circuits; Fuzzy logic; Soft computing, Fuzz logic; Fuzzy modeling; Historical data; Latency parameters; Performance parameters, Recommender systems
ID Code:22241
Deposited By: Ahmad Suhairi
Deposited On:28 Feb 2019 02:47
Last Modified:28 Feb 2019 02:47

Repository Staff Only: item control page