Towards Optimal Scheduling for Global Computing under Probabilistic, Interval, and Fuzzy Uncertainty, with Potential Applications to Bioinformatics
Araiza, R.; Taufer, M.; Ming-Ying Leung
Fuzzy Information Processing Society, 2007. NAFIPS apos;07. Annual Meeting of the North American
Volume , Issue , 24-27 June 2007 Page(s):520 - 525
Digital Object Identifier 10.1109/NAFIPS.2007.383894
Summary:In many practical situations, in particular in many bioinformatics problems, the amount of required computations is so huge that the only way to perform these computations in reasonable time is to distribute them between multiple processors. The more processors we engage, the faster the resulting computations; thus, in addition to processor exclusively dedicated to this job, systems often use idle time on other processors. The use of these otherwise engaged processors adds additional uncertainty to computations. How should we schedule the computational tasks so as to achieve the best utilization of the computational resources? Because of the presence of uncertainty, this scheduling problem is very difficult not only to solve but even to formalize (i.e., to describe in precise terms). In this paper, we provide the first steps towards formalizing and solving this scheduling problem.
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