Estimating disperse network queues

Author:

Gawlick Rainer

Abstract

Recent work in queueing theory has provided a means by which queue lengths can be estimated based solely on information about service completions. The work yields algorithms that permit the estimation of invisible or disperse queues which would be difficult to measure directly. These algorithms may be applied to resources in communications networks at which difficult-to-measure queues exist. The following paper presents an algorithm for queue estimation and measures its accuracy on transmission data taken from an ethernet environment. Results show the algorithm to be fairly accurate despite its simplifying assumption that the arrival process of the data packets is Poisson; for about 2/3 of the queues analyzed, the ratio of the root mean square difference between the real queue and the estimated queue to the average real queue is less than 1/2.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference8 articles.

1. R. C. Larson "The Queue Inference Engine : Deducing Queue Statistics From Transactional Data" to appear in Management Science 1990.

2. L. D . Servi personal correspondence August 1990 .

3. On a 68030 at 24Mhz with a f80882 coprocessor it took two days to calculate expected queue length s

4. with the assumption of a 2-Erlang arrival distribution for a busy period with 11 packets .

Cited by 6 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. Queue Inference Engine;Encyclopedia of Operations Research and Management Science;2013

2. inference engine;Encyclopedia of Operations Research and Management Science;2001

3. Estimating characteristics of queueing networks using transactional data;Queueing Systems;1998

4. Q;Encyclopedia of Operations Research and Management Science;1996

5. Exploiting Markov chains to infer queue length from transactional data;Journal of Applied Probability;1992-09

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