DocumentCode :
167116
Title :
Fuzzy cloud service selection framework
Author :
Tajvidi, Masoumeh ; Ranjan, Rajiv ; Kolodziej, Joanna ; Lizhe Wang
Author_Institution :
Dept. of Comput. Eng., Shahid Beheshti Univ., Tehran, Iran
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
443
Lastpage :
448
Abstract :
Cloud computing is the latest computing paradigm that delivers hardware and software resources as virtualization enabled services. Recently, cloud service selection has emerged as an important research problem due to large number of cloud providers and their diverse service configurations, multiple selection criteria, and customer´s fuzzy perception of Quality of Service (QoS). In this paper, we propose a novel fuzzy logic framework for cloud service selection based on the individual QoS criteria of customers. In this model, the necessary service configuration and run-time QoS data is collected from reliable sources such as monitoring services, customers´ feedbacks, and certified cloud providers´ information. The obtained results from conducted case study shows validity and applicability of the proposed framework.
Keywords :
cloud computing; fuzzy logic; quality of service; virtualisation; QoS criteria; cloud computing; fuzzy cloud service selection framework; fuzzy logic framework; quality of service; run-time QoS data; virtualization enabled services; Finance; Monitoring; Pragmatics; Quality of service; Reliability; Security; Vectors; Cloud Provider; Cloud Service Selection; Fuzzy Logic; Monitoring tools; Multi-Criteria Decision Process; User feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on
Conference_Location :
Luxembourg
Type :
conf
DOI :
10.1109/CloudNet.2014.6969035
Filename :
6969035
Link To Document :
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