Performance analysis of dynamic network processes

被引：0
|
作者：
Upfal, E [1 ]
机构：
[1] Brown Univ, Dept Comp Sci, Providence, RI 02912 USA
来源：
44TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/SFCS.2003.1238176
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This tutorial covers various approaches for modeling and analyzing dynamic processes in networks. Modeling the dynamic performance as a stochastic process, we apply tools from discrete and continues time Markov processes theory, renewal theory and queueing theory to analyze the long term, steady state, performance of the processes. Non-stochastic approaches include adversarial queueing theory, and game theory techniques.
引用
收藏
页码：18 / 18
页数：1
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