Optimizing queues with deadlines under infrequent monitoring

Fuente: arXiv
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Autori principali: Farahvash, Faraz, Tang, Ao
Natura: Preprint
Pubblicazione: 2024
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author Farahvash, Faraz
Tang, Ao
author_facet Farahvash, Faraz
Tang, Ao
contents In this paper, we aim to improve the percentage of packets meeting their deadline in discrete-time M/M/1 queues with infrequent monitoring. More specifically, we look into policies that only monitor the system (and subsequently take actions) after a packet arrival. We model the system as an MDP and provide the optimal policy for some special cases. Furthermore, we introduce a heuristic algorithm called "AB-n" for general deadlines. Finally, we provide numerical results demonstrating the desirable performance of "AB-n" policies.
format Preprint
id arxiv_https___arxiv_org_abs_2403_14525
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimizing queues with deadlines under infrequent monitoring
Farahvash, Faraz
Tang, Ao
Systems and Control
Networking and Internet Architecture
In this paper, we aim to improve the percentage of packets meeting their deadline in discrete-time M/M/1 queues with infrequent monitoring. More specifically, we look into policies that only monitor the system (and subsequently take actions) after a packet arrival. We model the system as an MDP and provide the optimal policy for some special cases. Furthermore, we introduce a heuristic algorithm called "AB-n" for general deadlines. Finally, we provide numerical results demonstrating the desirable performance of "AB-n" policies.
title Optimizing queues with deadlines under infrequent monitoring
topic Systems and Control
Networking and Internet Architecture
url https://arxiv.org/abs/2403.14525