A cooperative coevolutionary algorithm for the composite SaaS Placement Problem in the Cloud
Mohd Yusoh, Zeratul Izzah & Tang, Maolin (2010) A cooperative coevolutionary algorithm for the composite SaaS Placement Problem in the Cloud. Proceedings of the 17th International Conference on Neural Information Processing.
Cloud computing has become a main medium for Software as a Service (SaaS) hosting as it can provide the scalability a SaaS requires. One of the challenges in hosting the SaaS is the placement process where the placement has to consider SaaS interactions between its components and SaaS interactions with its data components. A previous research has tackled this problem using a classical genetic algorithm (GA) approach. This paper proposes a cooperative coevolutionary algorithm (CCEA) approach. The CCEA has been implemented and evaluated and the result has shown that the CCEA has produced higher quality solutions compared to the GA.
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|Item Type:||Journal Article|
|Keywords:||cloud computing, cooperative coevolutionary algorithm, evolutionary computation, genetic algorithm, SaaS, placement|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2010 Springer|
|Deposited On:||20 Sep 2010 04:31|
|Last Modified:||03 Jan 2013 06:23|
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