MPLS自适应流量工程的随机队列网络模型

负载均衡是改进Internet性能和可扩展性的关键技术,本文采用自适应流量工程方法优化网络资源利用率、最小化网络拥塞。假定Internet流量模型具有平稳随机过程特性,其统计变量具有长时间尺度下的恒定不变性,据此提出了一种基于流的多径负载均衡随机队列网络模型。基于M/Pareto/1队列模型的优化公式对减小网络拥塞、改善网络性能具有统计意义上的指导作用。

A Stochastic Queuing Network Model for MPLS Adaptive Traffic Engineering

Load balancing is a key technique for improving the performance and scalability of the Internet. Our focus on this paper was to apply adaptive traffic engineering to utilize network resource more efficiently and minimize congestion. In the light of the suggestion that Internet traffic can be modeled as a stationary stochastic process where statistical variations occur about an underlying constant intensity, we present a stochastic queuing network model for multi-path adaptive load balancing at flow-level. T...