Hierarchical routing for computer networks

By: Call Number: AIT RSPR no. CS-89-8 Contributor(s): Material type: SeriesSeries: Asian Institute of Technology. Research studies project report ; no. CS-89-8Publication details: Bangkok : Asian Institute of Technology, 1989Description: 90 pSubject(s): Online resources: Dissertation note: Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1989 Summary: This Research study is directed towards the problems of routing of large scale networks. A computer network can be modeled at an abstract level, as a graph . The most important factor is that the network can be partitioned into cluster structures as a graph. The objective of our research is to study the network performance which is partitioned into a hierarchical network. I n this work, it is assumed that the partitioning of the net- work into hierarchical clusters is available. Each node is associated with a routing table and the existing algorithms are directed toward reduction of routing table cost, but with single clusters. In this work, hierarchical routing is achieved by selecting a critical border node in each cluster and comparing the source and destination node logic address to select the appropriate cluster level, for fast retrieval of the next node to search the destination node. A comparison of the non-hierarchical and hierarchical path shows that the routing table is reduced but the hierarchical path is not optimal. It is concluded that hierarchical routing is a better solution for large networks provided efficient partitioning can be done .
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A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology

Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1989

This Research study is directed towards the problems of routing of large scale networks. A computer network can be modeled at an abstract level, as a graph . The most important factor is that the network can be partitioned into cluster structures as a graph. The objective of our research is to study the network performance which is partitioned into a hierarchical network. I n this work, it is assumed that the partitioning of the net- work into hierarchical clusters is available. Each node is associated with a routing table and the existing algorithms are directed toward reduction of routing table cost, but with single clusters. In this work, hierarchical routing is achieved by selecting a critical border node in each cluster and comparing the source and destination node logic address to select the appropriate cluster level, for fast retrieval of the next node to search the destination node. A comparison of the non-hierarchical and hierarchical path shows that the routing table is reduced but the hierarchical path is not optimal. It is concluded that hierarchical routing is a better solution for large networks provided efficient partitioning can be done .

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