An application of Taguchi L16 method for optimisation of load balancing process parameters in cloud computing Online publication date: Tue, 10-Oct-2023
by Shahbaz Afzal; G. Kavitha; Amir Ahmad Dar
International Journal of Cloud Computing (IJCC), Vol. 12, No. 5, 2023
Abstract: Designing an efficient load balancing algorithm in cloud computing requires a good knowledge of input parameters and their impact on output parameter. The study investigates the impact of input parameters: growth rate, magnitude of cloud task, initial population of tasks, and sampling interval - on the population of tasks with the help of Taguchi-design of experiment. Taguchi L16 method is used for the experimental setup and two statistical techniques - analysis of mean (ANOM) and analysis of variance (ANOVA) are used for performance analysis. ANOM is used to identify which input parameter has a significant effect on 'N(t)' and it also provides the best optimal combination of input variables for which the virtual machine is stable. ANOVA is used to measure the percentage contribution of each input parameter on the response variable. From the experimental results, it is concluded that 'N0' has the most significant impact on 'N(t)' with a percentage contribution of 37%.
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