GPU Accelerated TOPSIS Algorithm for QoS Aware Web Service Selection

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Abstract

Web service selection is the method of selecting the best web service based on non-functional aspects. With proliferation of web services, there is a demand for efficient approaches to select the best web services from the available pool. A number of Multi criteria decision making approaches are adopted for QoS aware web service selection. The exploitation in web service deployment increases the computation power in executing web service selection. Graphics processing unit (GPU) can achieve reduction in computation power by performing multiple tasks at a time. The independent tasks in the algorithm are parallelized by utilizing GPU in order to achieve more efficiency. This works proves that GPU acceleration can be utilized in parallelizing TOPSIS algorithm for web service selection.

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Lakshmi, M. S. Y., Karpagam, D. R., & Swetha, N. G. (2020). GPU Accelerated TOPSIS Algorithm for QoS Aware Web Service Selection. International Journal of Recent Technology and Engineering (IJRTE), 8(5), 3159–3163. https://doi.org/10.35940/ijrte.e6502.018520

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