Distributed routing using topology database in large computer networks

K. J. Lee, B. Kadaba
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引用次数: 3

Abstract

The authors develop distributed routing algorithms for large computer networks that provide virtual circuit connections to end users. One routing scheme in computer networks is to use a topology database maintained at each node that contains information about nodes and link cost. Using this information, each node finds shortest routes to other nodes. This scheme may be inefficient in large networks since the overhead associated with topology database update and shortest path computation may become large. One way of solving this problem is to partition the network into subnetworks or clusters. After partitioning, each node in a cluster only maintains a topology database of nodes and links in its own cluster and possibly marginal information about the entire network. For intracluster communication, shortest path routes are provided. For intercluster communication the source node collaborates with other nodes to find a path to the destination node. The authors propose two collaboration schemes that use simple protocols among network nodes. In one scheme, a broadcast search is used to find a path to the destination node in other clusters. In the other scheme each node maintains information about intercluster links on an up/down basis as well as complete topology database of its own cluster. Using this information, it finds a path to the destination node with the help of border nodes (nodes sharing intercluster links) in the intermediate clusters.<>
大型计算机网络中基于拓扑数据库的分布式路由
作者为大型计算机网络开发分布式路由算法,为最终用户提供虚拟电路连接。计算机网络中的一种路由方案是使用在每个节点上维护的拓扑数据库,其中包含有关节点和链路开销的信息。利用这些信息,每个节点找到到其他节点的最短路径。由于拓扑数据库更新和最短路径计算相关的开销可能会变得很大,因此这种方案在大型网络中可能效率低下。解决这个问题的一种方法是将网络划分为子网或集群。分区后,集群中的每个节点只维护自己集群中的节点和链路的拓扑数据库,以及整个网络的边缘信息。对于集群内通信,提供最短路径路由。对于集群间通信,源节点与其他节点协作寻找到目标节点的路径。作者提出了两种网络节点间使用简单协议的协作方案。在一种方案中,使用广播搜索来查找到其他集群中的目标节点的路径。在另一种方案中,每个节点在上下基础上维护集群间链路的信息,以及自己集群的完整拓扑数据库。使用这些信息,它在中间集群中的边界节点(共享集群间链接的节点)的帮助下找到通往目标节点的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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