Approximations and Optimal Control for State-Dependent Limited Processor Sharing Queues
نویسندگان
چکیده
The paper studies approximations and control of a processor sharing (PS) server where the service rate depends on number jobs occupying server. such system is implemented by imposing limit that can share concurrently, with rest waiting in first-in-first-out (FIFO) buffer. A desirable scheme should strike right balance between efficiency (operating at high rate) parallelism (preventing small from getting stuck behind large ones). We use framework heavy-traffic diffusion analysis to devise near optimal heuristics for queueing system. However, although literature state-dependent systems begins sequence an exogenously defined drift function, we begin finite discrete PS propose axiomatic recipe explicitly construct servers then yields function. establish them obtain insightful closed-form original under static concurrency policy. extend our study policies dynamically adjust limit. provide two novel numerical algorithms solve associated problem. Our be viewed as “average cost” iteration: first algorithm uses binary-search average cost, while second faster Newton-Raphson method root finding. Numerical experiments demonstrate accuracy approximation choosing or near-optimal dynamic heuristics.
منابع مشابه
Approximations and Optimal Control for State-dependent Limited Processor Sharing Queues
The paper studies approximations and control of a processor sharing (PS) server where the service rate depends on the number of jobs occupying the server. The control of such a system is implemented by imposing a limit on the number of jobs that can share the server concurrently, with the rest of the jobs waiting in a first-in-first-out (FIFO) buffer. A desirable control scheme should strike th...
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ژورنال
عنوان ژورنال: Stochastic systems
سال: 2022
ISSN: ['1946-5238']
DOI: https://doi.org/10.1287/stsy.2021.0087