Estimating the simulation workload for factory simulation as a cloud service

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\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$t$$\end{document} test was performed and the results indicated that the performance of the fuzzy collaborative method is superior to those of some existing methods.