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Abstract In practice, the cost of delaying a job can grow as the job waits. Such behavior is modeled by the time-varying holding cost (TVHC) problem, where each job’s instantaneous holding cost increases with its current age (a job’s age is the time since it arrived). The goal of the TVHC problem is to find a scheduling policy that minimizes the time-average total holding cost across all jobs. However, no optimality results are known for the TVHC problem outside of the asymptotic regime. In this paper, we study a simple yet still challenging special case: A two-class M/M/1 queue in which class 1 jobs incur a non-decreasing, time-varying holding cost and class 2 jobs incur a constant holding cost. Our main contribution is deriving the first optimal (non-decreasing) index policy for this special case of the TVHC problem. Our optimal policy, called LookAhead, stems from the following idea: Rather than considering each job’scurrentholding cost when making scheduling decisions, we should look at their cost someXtime into the future, where thisXis intuitively called the “lookahead amount. This paper derives that optimal lookahead amount.more » « less
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Li, Zhouzi; Gurushankar, Keerthana; Harchol-Balter, Mor; Scheller-Wolf, Alan (, ACM SIGMETRICS Performance Evaluation Review)Scheduling a stream of jobs whose holding cost changes over time is a classic and practical problem. Specifically, each job is associated with a holding cost (penalty), where a job's instantaneous holding cost is some increasing function of its current age (the time it has spent in the system since its arrival) and its class. The goal is to schedule the jobs to minimize the time-average total holding cost across all jobs.more » « less
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Li, Runming; Gurushankar, Keerthana; Heule, Marijn J.H.; Rozier, Kristin Yvonne (, IEEE)
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Chasapis, Giorgos; Gurushankar, Keerthana; Tkocz, Tomasz (, Journal d'Analyse Mathématique)
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