Abstract
Cloud service providers (CSPs) are providing a variety of similar services in the cloud marketplace. It is very challenging for cloud customers to compare these services and choose an appropriate CSP. In this regard, multi-criteria decision-making (MCDM) algorithms are useful to select a suitable CSP among a set of CSPs and/or rank the CSPs. The selection or ranking of CSP is based on various quality of service (QoS) parameters and their weights. One of the popular MCDM algorithms is the preference ranking organization method for enrichment of evaluations (PROMETHEE), which results in the completeness of ranking. PROMETHEE compares the alternatives with respect to each criterion and represents them in the form of a pairwise comparison matrix. However, the comparison value is represented as either 0 or 1 without showing how far or close these two alternatives are with respect to that criterion. Therefore, in this paper, we propose an efficient service selection algorithm (SSA) by modifying the traditional PROMETHEE and by considering the differences between the alternatives with respect to criteria. The proposed algorithm is illustrated through a numerical example and compared with the PROMETHEE using four randomly generated datasets. The comparison results show the effectiveness of the proposed algorithm.
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Saha, M., Panda, S.K., Panigrahi, S. (2022). An Efficient Service Selection Algorithm for Cloud Computing. In: Rout, R.R., Ghosh, S.K., Jana, P.K., Tripathy, A.K., Sahoo, J.P., Li, KC. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-19-1018-0_9
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