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无限缓存下自相似网络通信量复用策略
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摘要:
研究了自相似网络通信量的统计复用策略。首先讨论了在采用FIFO(First In First Out)服务策略且缓存趋于无限大时,满足一定溢出概率要求的统计复用带宽要求,然后对这种情况进行了仿真分析。研究表明网络通信量的自相似特性对复用增益有较大的影响,并且自相似性越强、复用通信量数量越大,所取得的复用增益越大,这对于网络设计是很重要的。
关键词:  通信网 自相似网络 复用策略 溢出概率 无限缓存
DOI:10.3969/j.issn.1001-893X.
基金项目:
Multiplexing Scheme for Self-Similar Network Traffic with Infinite Buffer
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Abstract:
The statistical multiplexing scheme for self-similar network traffic is investigated. First, with the FIFO (First In First Out) service discipline and pre-determined buffer overflow probability, the requirement of multiplexing bandwidth is obtained under the condition of asymptotic infinite buffer. Results show that the self-similarity of network traffic has a significant influence on the statistical multiplexing gain.
Key words:  Communication network,Self-similar network,Multiplexing scheme,Overflow probability,Infinite buffer