Title :
A New Dataset and Benchmark for Cloud Computing Service Composition
Author :
Amin Jula;Hamid Nilsaz;Elankovan Sundararajan;Zalinda Othman
Author_Institution :
Data Min. &
Abstract :
Cloud computing as an effective computing approach is attracting increasingly the attention of heavy processing applicants to its capabilities. Cloud suppliers try to prevent any service-request unanswered utilizing a large number of service providers. Selecting optimal unique-services in cloud computing service composition (CCSC) is a noteworthy problem that must be addressed extremely accurate and scrupulously. Recently, considerable studies have been done for solving CCSC, however lack of widely accepted and reliable CCSC problems for fair and equitable comparison of proposing methods, is a blind spot and should be considered as a high-priority problem. In this paper, a reliable set of ten CCSC problems is introduced (CCSC_Benchmark) which is prepared to be used as a "standard test" in future works. To complete the usability of the problem set, the best solutions of the generated problems are also found and presented to provide a facility for calculating error rate of the proposed methods.
Keywords :
"Quality of service","Cloud computing","Benchmark testing","Conferences","Computational modeling","Optimization"
Conference_Titel :
Intelligent Systems, Modelling and Simulation (ISMS), 2014 5th International Conference on
DOI :
10.1109/ISMS.2014.22