Fault management of LAN a hierarchical adaptive distributed diagnosis algorithm
Summary :
Table of Contents
- Abstract
- Introduction
- Distributed system level diagnosis
- The new self algorithm
- The event self algorithm
- Drawbacks of the self algorithm
- Adaptive distributed system level diagnosis
- Comparison of adaptive dsd and hi adsd
- Conclusion
- References
Abstract
As computer networks have grown in into complex enterprise wide systems, managements of operation and associated risk has become a critical task. The goal of the network management is to monitor, interpret and control network operations, optimizing costs and reducing failure downtime using minimum of network resources. Network Manger collects the information about the network from the agents and processes the information and sends it messages to the node through the agents.
In the conventional centralized network management technique [3] there is a single Network Manager, which collects the information from the whole, network and maintains the database of the entire nodes in the network. This technique is very simple, but has a serious problem. If the central node fails then the whole network is left with no network management.
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