A cooperative coevolutionary algorithm for the composite SaaS Placement Problem in the Cloud


Autoria(s): Mohd Yusoh, Zeratul Izzah; Tang, Maolin
Data(s)

07/09/2010

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/35682/

Publicador

Springer

Relação

http://eprints.qut.edu.au/35682/1/c35682.pdf

http://link.springer.com/chapter/10.1007%2F978-3-642-17537-4_75

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.

Direitos

Copyright 2010 Springer

Fonte

Faculty of Science and Technology

Palavras-Chave #080108 Neural Evolutionary and Fuzzy Computation #cloud computing #cooperative coevolutionary algorithm #evolutionary computation #genetic algorithm #SaaS #placement
Tipo

Journal Article