Reference : Comparisons of Heat Map and IFL Technique to Evaluate the Performance of Commercially...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/29528

Title :	Comparisons of Heat Map and IFL Technique to Evaluate the Performance of Commercially Available Cloud Providers
Language :	English
Author, co-author :	Wagle, Shyam Sharan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Guzek, Mateusz [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Bisdorff, Raymond [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2016
Main document title :	2016 IEEE 9th International Conference on Cloud Computing
Author, co-author :	IEEE
Publisher :	IEEE
Pages :	529-536
Peer reviewed :	Yes
On invitation :	Yes
Audience :	International
ISBN :	2159-619016
Country :	US
Event name :	Cloud2016
Event date :	27-06-2016 to 02-07-2016
Event organizer :	IEEE
Event place (city) :	Sanfrancisco
Event country :	USA
Keywords :	[en] Cloud Computing ; Decision Recommendation ; Cloud Brokering ; Evaluation ; Performance Heat Map ; IFL
Abstract :	[en] Cloud service providers (CSPs) offer different Ser- vice Level Agreements (SLAs) to the cloud users. Cloud Service Brokers (CSBs) provide multiple sets of alternatives to the cloud users according to users requirements. Generally, a CSB considers the service commitments of CSPs rather than the actual quality of CSPs services. To overcome this issue, the broker should verify the service performances while recommending cloud services to the cloud users, using all available data. In this paper, we compare our two approaches to do so: a min-max-min decomposition based on Intuitionistic Fuzzy Logic (IFL) and a Performance Heat Map technique, to evaluate the performance of commercially available cloud providers. While the IFL technique provides simple, total order of the evaluated CSPs, Performance Heat Map provides transparent and explanatory, yet consistent evaluation of service performance of commercially available CSPs. The identified drawbacks of the IFL technique are: 1) It does not return the accurate performance evaluation over multiple decision alternatives due to highly influenced by critical feedback of the evaluators; 2) Overall ranking of the CSPs is not as expected according to the performance measurement. As a result, we recommend to use performance Heat Map for this problem.
Funders :	INTER/CNRS/11/03) project
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/29528

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