Abstract
Mobile Cloud Computing (MCC) is considered next-generation applications. One most important issue in MCC is Load Balancing. Uniform distribution of load among all the virtual servers can provide a better response time. Users demand more services with better results. Many algorithms are proposed to address this issue. Analysis of prevalent load balancing algorithms in cloud computing is done using various parameters like throughput, resource utilization, response time, etc., To compare the existing algorithms in a much better way and to compare their performance, a fuzzy logic technique is evolved in this paper. The technique is illustrated using a suitable numerical example. Evaluation of performance of 8 Algorithms is carried out on the basis of four metrics throughput, response time, migration time, and overhead. Using this technique Gradation of prevalent algorithms may be done easily in terms of their performance on the basis of desired metrics.
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Divya, Mittal, H., Jain, N., Bansal, B., Goyal, D.K. (2021). Fuzzy Logic Technique for Evaluation of Performance of Load Balancing Algorithms in MCC. In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 224. Springer, Singapore. https://doi.org/10.1007/978-981-16-1502-3_12
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