A fast sub-optimal routing algorithm for large size data network

W. Tsai, Wulan Dai
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Abstract

A fast and efficient distributed sub-optimal routing algorithm using hierarchical aggregation/disaggregation (HAD) scheme is proposed for high speed Internet based on IPv6. The hierarchical structure eliminates the dominant scaling limit of the routing algorithm. It allows the number of subnetworks that must be known to any single router to be bounded. Our algorithm is different from existing HAD algorithms in high level network routing algorithm and composition algorithm. Unlike the previous algorithms, the origin and destination can be any node in the flat network. We compared our algorithm with traditional optimal routing algorithm by gradient projection (TOR-GP) method using the system delay as an objective function. The results show that our algorithm converges much faster than traditional algorithm, and provides a very good approximation to the traditional algorithm. It is safe to say that the solution should have positive effects to the rapid development of the information super-highway.
大数据网络的快速次优路由算法
针对基于IPv6的高速互联网,提出了一种基于层次聚合/分解(HAD)方案的快速高效的分布式次优路由算法。分层结构消除了路由算法的主导尺度限制。它允许对任何单个路由器必须知道的子网数量进行限制。该算法在高级网络路由算法和合成算法上与现有的HAD算法有所不同。与之前的算法不同,原点和目的地可以是平面网络中的任何节点。以系统时延为目标函数,将该算法与传统的梯度投影优化路由算法(TOR-GP)进行了比较。结果表明,该算法的收敛速度比传统算法快得多,并能很好地逼近传统算法。可以肯定地说,该解决方案应该对信息高速公路的快速发展产生积极影响。
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