An Ant Colony Optimization for the Composite SaaS Placement Problem in the Cloud

Zhi Wei Ni; Xue Feng Pan; Zhang Jun Wu

doi:10.4028/www.scientific.net/AMM.130-134.3062

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134An Ant Colony Optimization for the Composite SaaS...

An Ant Colony Optimization for the Composite SaaS Placement Problem in the Cloud

Abstract:

Cloud computing has become a main medium for Software as a Service (SaaS) hosting as it can provide the scalability a SaaS requires. In the composite SaaS placement process， it should consider the factors about the size of the cloud network, SaaS interactions between its components and SaaS interactions with its data components. A previous research has tackled this problem using a genetic algorithm (GA) approach. This paper proposes an ant colony optimization (ACO) approach. The ACO for the SaaS placement problem has been implemented and evaluated.

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

3062-3067

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.3062

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Online since:

October 2011

Authors:

Zhi Wei Ni, Xue Feng Pan, Zhang Jun Wu

Keywords:

Ant Colony Optimization (ACO), SaaS Placement, Software as a Service

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