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arXiv · 2211.00367

Towards Maximizing Nonlinear Delay Sensitive Rewards in Queuing Systems

Sushmitha Shree S·Avijit Mandal·Avhishek Chatterjee·Krishna Jagannathan
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Abstract

We consider maximizing the long-term average reward in a single server queue, where the reward obtained for a job is a non-increasing function of its sojourn time. The motivation behind this work comes from multiple applications, including quantum information processing and multimedia streaming. We introduce a new service discipline, shortest predicted sojourn time (SPST), which, in simulations, performs better than well-known disciplines. We also present some limited analytical guarantees for this highly intricate problem.

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Sushmitha Shree S, Avijit Mandal, Avhishek Chatterjee, Krishna Jagannathan. 2022-11-01. Towards Maximizing Nonlinear Delay Sensitive Rewards in Queuing Systems. https://arxiv.org/abs/2211.00367

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