A New Algorithm for the End-to-End Delay Bound Based on Statistical Network Calculus

被引：0
|
作者：
Zhao, Y. Z. [1 ]
机构：
[1] Engn Univ CAPF, Dept Elect, Xian, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015) | 2015年 / 18卷
关键词：
aggregate traffic; statistical network calculus; moment generating function;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to analyze the delay performance of aggregate traffic, this paper proposes a new algorithm for the End-To-End statistical delay bound of Converged Network with aggregate flows using the theorem of the moment generating function. The results show the algorithm has more Effectiveness and Superiority, it could provide a design reference for the performance evaluation.
引用
收藏
页码：71 / 74
页数：4
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