Abstract
Cloud computing is evolving as a realization of SoA in which IT resources are offered as services on a pay-as-you-go basis. But several functionally equivalent services are discovered, because of the exponential growth in the number of cloud providers and services. The best service can be selected by ranking all the discovered services using their network and other non-network QoS parameters, which is formulated as MCDM problem. In this paper, we proposed a hybrid approach for MCDM problem that contains AHP and PROMETHEE. AHP is used to investigate the structure of the service ranking problem and to determine the weights of the QoS criteria, and PROMETHEE method is applied for the final ranking. The results of evaluation demonstrate the effectiveness of the proposed hybrid method, and furthermore show the impact of network QoS parameters in the final service ranking.
Publisher
Trans Tech Publications, Ltd.
Cited by
16 articles.
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