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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.

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    Abstract

    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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    ID Code: 35682
    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 14:31
    Last Modified: 03 Jan 2013 16:23

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