政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75636

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题名:	Dropping behavior of a Random Early Detection mechanism by a queueing model of batch arrivals and multiple servers
作者:	Luh, Hsing Paul;Wang, C.-H. 陸行
贡献者:	應數系
关键词:	Adaptive queue management;Analytic method;Analytic models;Basic concepts;Batch arrivals;Batch sizes;Dropping probability;Dropping rates;Markovian;Multimedia applications;Multiple servers;Numerical results;Performance measure;Quality metrics;Queueing model;Random Early Detections;RED queue;Waiting-time;Internet;Numerical analysis;Numerical methods;Operations research;Quality of service;Queueing networks;Servers;Queueing theory
日期:	2010
上传时间:	2015-06-10 12:41:45 (UTC+8)
摘要:	With the emerging popularity of multimedia applications, quality of service on Internet becomes an important issue. Random Early Detection (RED) is one of the most widely used adaptive queue management in the Internet. In this paper, we extend the basic concept and study an analytic model for RED queues with batch arrival and multiple servers. A Markovian approach is presented in order to study different quality metrics by RED parameters, such as batch sizes, dropping rates, etc. Numerical results obtained by simulation and analytic methods illustrate those performance measures of the proposed RED queue, such as average system/queue sizes, average sysetm/queue waiting time, average dropping probability. © 2010 ACM.
關聯:	5th International Conference on Queueing Theory and Network Applications, QTNA 2010 - Proceedings, Volume 1, 2010, 論文編號 5553124, Pages 462-467
数据类型:	conference
DOI 連結:	http;//dx.doi.org/10.1145/1837856.1837867
DOI:	10.1145/1837856.1837867
显示于类别:	[資訊管理學系] 會議論文

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