A Cloud Trust Evaluation System Using Hierarchical Fuzzy Inference System for Service Selection

Author

Chenhao Qu ; Buyya, Rajkumar

Author_Institution

Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia

fYear

2014

fDate

13-16 May 2014

Firstpage

850

Lastpage

857

Abstract

Cloud computing is an utility computing paradigm that allows users to flexibly acquire virtualized computing resources in a pay-as-you-go model. To realize the benefits of using cloud, users need to first select the suitable cloud services that can satisfy their applications´ functional and non-functional requirements. However, this is a difficult task due to large number of available services, users´ unclear requirements, and performance variations in cloud. In this paper, we propose a system that evaluates trust of clouds according to users´ fuzzy Quality of Service (QoS) requirements and services´ dynamic performances to facilitate service selection. We demonstrate the effectiveness and efficiency of our system through simulations and case studies.

Keywords

cloud computing; fuzzy reasoning; fuzzy set theory; quality of service; trusted computing; virtualisation; QoS requirements; application functional requirements; application nonfunctional requirements; cloud computing; cloud trust evaluation system; fuzzy quality of service requirements; hierarchical fuzzy inference system; pay-as-you-go model; service dynamic performance; service selection; utility computing paradigm; virtualized computing resources; Benchmark testing; Fuzzy logic; Measurement; Memory management; Pragmatics; Quality of service; Security; Cloud Computing; Hierarchical Fuzzy Inference System; IaaS; QoS; Service Selection; Trust;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on

Conference_Location

Victoria, BC

ISSN

1550-445X

Print_ISBN

978-1-4799-3629-8

Type

conf

DOI

10.1109/AINA.2014.104

Filename

6838753