Estimating the simulation workload for factory simulation as a cloud service

Toly Chen and Chi-Wei Lin ()
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Toly Chen: Feng Chia University
Chi-Wei Lin: Feng Chia University

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 5, No 7, 1139-1157

Abstract: Abstract An essential and practical application of cloud manufacturing is factory simulation as a cloud service (FSaaCS). In this paper, several topics related to implementing FSaaCS are discussed. Among them, load balancing is considered a critical topic. To address this topic, estimating a simulation workload is a crucial step. After factors critical to estimating a simulation workload were summarized, several methods were applied to estimate a simulation load, relevant to the required simulation time, from these factors. An experiment using real data was conducted to compare the performance of these methods. In addition, the paired $$t$$ t test was performed and the results indicated that the performance of the fuzzy collaborative method is superior to those of some existing methods.

Keywords: Cloud manufacturing; Cloud computing; Simulation; Workload; Estimation; Fuzzy; Collaborative (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10845-015-1068-y

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