Diffusion Approximation of State-Dependent G-Networks Under Heavy Traffic

Author:

Leite Saul C.,Fragoso Marcelo D.

Abstract

This paper is concerned with the characterization of weak-sense limits of state-dependent G-networks under heavy traffic. It is shown that, for a certain class of networks (which includes a two-layer feedforward network and two queues in tandem), it is possible to approximate the number of customers in the queue by a reflected stochastic differential equation. The benefits of such an approach are that it describes the transient evolution of these queues and allows the introduction of controls, inter alia. We illustrate the application of the results with numerical experiments.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference54 articles.

1. Random Neural Networks with Negative and Positive Signals and Product Form Solution

2. Leite S. C. and Fragoso M. D. (2007). On the analysis of G-queues under heavy traffic. Submitted.

3. Controlled and optimally controlled multiplexing systems: A numerical exploration

4. State-dependent stochastic networks. Part I. Approximations and applications with continuous diffusion limits;Mandelbaum;Ann. Appl. Prob.,1998

5. Jarvis D. and Kushner H. J. (1996). Codes for optimal stochastic control: documentation and users guide. Tech. Rep. 96-3, Brown University.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. OPTIMAL ENERGY DISTRIBUTION WITH ENERGY PACKET NETWORKS;Probability in the Engineering and Informational Sciences;2019-01-29

2. Diffusion approximation for signaling stochastic networks;Stochastic Processes and their Applications;2013-08

3. An initiative for a classified bibliography on G-networks;Performance Evaluation;2011-04

4. Heavy traffic analysis of state-dependent parallel queues with triggers and an application to web search systems;Performance Evaluation;2010-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3