Characterization of the Gittins index for sequential multistage jobs
Samuli Aalto (Aalto University, Espoo, Finland)

TL;DR
This paper investigates the Gittins index for complex multistage jobs in queueing systems, proposing a more direct recursive computation method for sequential two-stage jobs with monotonic hazard rates, potentially extendable to general cases.
Contribution
It introduces a direct recursive approach to compute the Gittins index for sequential multistage jobs, simplifying previous indirect methods and extending applicability.
Findings
Proves recursive computation for two-stage jobs with monotonic hazard rates
Numerical experiments suggest potential generalization to all sequential multistage jobs
Connects Gittins index computation with Whittle index methodology
Abstract
The optimal scheduling problem in single-server queueing systems is a classic problem in queueing theory. The Gittins index policy is known to be the optimal preemptive nonanticipating policy (both for the open version of the problem with Poisson arrivals and the closed version without arrivals) minimizing the expected holding costs. While the Gittins index is thoroughly characterized for ordinary jobs whose state is described by the attained service, it is not at all the case with jobs that have more complex structure. Recently, a class of such jobs, the multistage jobs, were introduced, and it was shown that the computation of Gittins index of a multistage job reduces into separable computations for the individual stages. The characterization is, however, indirect in the sense that it relies on the recursion for an auxiliary function (so called SJP function) and not for the Gittins…
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Taxonomy
TopicsAdvanced Bandit Algorithms Research · Smart Grid Energy Management · Advanced Queuing Theory Analysis
