Minimizing Service and Operation Costs of Periodic Scheduling
Mathematics of Operations Research
Nearly optimal perfectly periodic schedules
Distributed Computing - Special issue: Selected papers from PODC '01
Stride Scheduling: Deterministic Proportional- Share Resource Management
Stride Scheduling: Deterministic Proportional- Share Resource Management
Journal of Scheduling
Solving the Response Time Variability Problem by means of metaheuristics
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
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Fair sequences are useful in a variety of applications, including manufacturing and computer systems. This paper considers the generation of cyclic fair sequences for a given set of products, each of which must be produced multiple times in each cycle. The objective is to create a sequence so that, for each product, the variability of the time between consecutive completions is minimized. Because minimizing response time variability is known to be NP-hard and the performance of existing heuristics is poor for certain classes of problems, we present an aggregation approach that combines products with the same demand, creates a sequence for the aggregated instance, and then disaggregates this solution into a feasible sequence for the original instance. Computational experiments show that using aggregation can reduce response time variability dramatically and also reduces computational effort.