An Empirical Study on Multicriteria Scheduling
Keywords:Scheduling, multicriteria scheduling, M/G/1 queuing simulation
AbstractThis paper presents an empirical study of non-preemptive Multicriteria-Based, called MCB for short, scheduling policy. MCB scheduling policy uses multiple criteria of each request: arrival time, deadline, and processing time, to balance the requirements on both client and server sites. Weighted aggregation method is applied in this study to conduct the different measurements to a single figure of merit. For the empirical study, an M/G/1 queuing simulation system is implemented with MATLAB to represent a general server's incoming request scheduling system. Comparative simulation results of MCB with best effort scheduling policy on an overload situation show that MCB is an optimal scheduling policy.
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How to Cite
Srisujjalertwaja, W., & Bhattarakosol, P. (2012). An Empirical Study on Multicriteria Scheduling. COMPUTING AND INFORMATICS, 29(6+), 1181–1192. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/138