LookAhead: The Optimal Non-decreasing Index Policy for a Time-Varying Holding Cost problem
Keerthana Gurushankar, Zhouzi Li, Mor Harchol-Balter, Alan Scheller-Wolf

TL;DR
This paper introduces LookAhead, an optimal non-decreasing index policy for a specific time-varying holding cost queue problem, providing a novel solution where costs increase over time and previous results were limited.
Contribution
It derives the first optimal non-decreasing index policy for a special case of the TVHC problem, advancing understanding of scheduling with time-varying costs.
Findings
Derived the optimal lookahead amount for the policy
Established the optimality of the non-decreasing index policy
Provided insights into scheduling with increasing holding costs
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:…
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Taxonomy
TopicsAdvanced Queuing Theory Analysis · Optimization and Search Problems · Age of Information Optimization
