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Characteristics of a Two-Class Polling System Model
  • ISSN号:0372-2112
  • 期刊名称:《电子学报》
  • 时间:0
  • 分类:TP393.01[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] O226[理学—运筹学与控制论;理学—数学]
  • 作者机构:[1]Department of Communication Engineering, Yunnan University, Kunming 650091, China, [2]the Academy for Educational Science Research, Educational Department of Yunnan Province, Kunming 650223, China
  • 相关基金:Acknowledgements The research was supported by the National Natural Science Foundation of China (No. 61072079/F010201).
中文摘要:

Polling system models have a wide range of important applications including time-sharing computer systems,industrial control,communications,and computer networks.In this paper,we propose a two-class prioritybased polling system that uses gated and exhaustive services to achieve the priority-based scheme.This model is set up according to the method of the imbedded Markov chain theory and the generation function and explicitly analyzes key system performance characteristics including mean queue length,cyclic time,and throughput.Theoretical and simulation results are identical and demonstrate the efficiency of the model.

英文摘要:

Polling system models have a wide range of important applications including time-sharing computer systems, industrial control, communications, and computer networks. In this paper, we propose a two-class priority- based polling system that uses gated and exhaustive services to achieve the priority-based scheme. This model is set up according to the method of the imbedded Markov chain theory and the generation function and explicitly analyzes key system performance characteristics including mean queue length, cyclic time, and throughput. Theoretical and simulation results are identical and demonstrate the efficiency of the model.

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期刊信息
  • 《电子学报》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国电子学会
  • 主编:郝跃
  • 地址:北京165信箱
  • 邮编:100036
  • 邮箱:new@ejournal.org.cn
  • 电话:010-68279116 68285082
  • 国际标准刊号:ISSN:0372-2112
  • 国内统一刊号:ISSN:11-2087/TN
  • 邮发代号:2-891
  • 获奖情况:
  • 2000年获国家期刊奖,2000年获国家自然科学基金志项基金支持,中国期刊方阵“双高”期刊
  • 国内外数据库收录:
  • 美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘,中国北大核心期刊(2000版)
  • 被引量:57611