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Robust Spanning Tree Topology For Data Collection And Dissemination IN DISTRIBUTED ENVIRONMENT
TABLE OF CONTENTS
- Literature Survey
- Analysis and Design
- Testing and Debugging
- References / Bibilography
Large-Scale distributed applications are subject to frequent disruptions due to resource contention and failure. Such disruptions are unpredictable and therefore robustness is a designable property for the distributed operated environment. Describe and evaluate a robust topology for applications that operate on a spanning tree overlay network. This technique is used for improving the robustness of a distributed system. Spanning trees are used in communication network to disseminate information from one node to all other nodes and/or to collect information at a single designated node. The most common spanning trees are shortest path and minimum spanning tree.
The distance in edge weights of the path from each node to the root node is mini mum. Such a tree is efficiently constructed by Dijkstra’s algorithm. Designated this method as SP.The distance in number of hops along the path from each node to the root node is minimum. This method is equivalent to SP when all edge weights are equal and, therefore, Dijkstra’s algorithm may be employed. Designate this method by FH.The topology itself is able to simultaneously withstand disturbances and exhibit good Performance.
The design and implementation of distributed computing systems has historically been carried out with performance being the dominant goal. Typically the objective is to optimize a criterion such as response time, make span, or hit rate. Furthermore, the performance metrics are usually viewed from an individual perspective and may not correspond to the social optima. In order to realize the benefits from such performance-oriented designs, the distributed environment in which the application is deployed must be somewhat predictable.