Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/75636


Title: Dropping behavior of a Random Early Detection mechanism by a queueing model of batch arrivals and multiple servers
Authors: Luh, Hsing Paul;Wang, C.-H.
陸行
Contributors: 應數系
Keywords: 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
Date: 2010
Issue Date: 2015-06-10 12:41:45 (UTC+8)
Abstract: 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.
Relation: 5th International Conference on Queueing Theory and Network Applications, QTNA 2010 - Proceedings, Volume 1, 2010, 論文編號 5553124, Pages 462-467
Data Type: conference
DOI 連結: http;//dx.doi.org/10.1145/1837856.1837867
Appears in Collections:[資訊管理學系] 會議論文

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