Title: Adjustable flooding-based discovery with multiple QoSs for cloud services acquisition

Authors: Chia-Chuan Chuang, Shang-Juh Kao

Addresses: Department of Computer Science and Engineering, National Chung-Hsing University, 250, Kuo Kuang Rd., Taichung 402, Taiwan. ' Department of Computer Science and Engineering, National Chung-Hsing University, 250, Kuo Kuang Rd., Taichung 402, Taiwan

Abstract: The recently emerging adaption of Software as a Service (SaaS) enables applications to be fulfilled by existing services in the cloud environment. However, the decentralised discovery and selection process due to services distributed over internet is a critical challenge. In this paper, we propose a cloud services acquisition system by introducing a Communication and Analysis Middleware (CAM) for efficient service discovery. To simultaneously meet multiple objectives, the discovery results are further evaluated to constitute compromised solutions through evolutionary analysis. The experimental results show that the derived compositions which satisfy multiple-objective optimisation can be derived efficiently.

Keywords: cloud services; sevice acquisition; web services; cloud computing; communication and analysis middleware; service discovery; flooding-based discovery; QoS; quality of service; multiobjective optimisation.

DOI: 10.1504/IJWGS.2011.040449

International Journal of Web and Grid Services, 2011 Vol.7 No.2, pp.208 - 224

Received: 16 Mar 2010
Accepted: 03 Mar 2011
Published online: 17 Apr 2015 *

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