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