Nodes failure detection in large scale network

It is the age of information technology. Around the world, millions of computers are being linked together in networks of all sizes, from small local area networks to giant enterprise wide area networks. This rapid growth means a lot of opportunity for people working or preparing to work, in the computer industry. In today’s world of LANs and WANs, almost all business depends on internetworking for data communication. From the world wide internet to private intranet, internetworking technology is present in virtually every aspect of a business technical operation. And in this age of information technology it is very important to discover network failure as soon as possible. in this project, we present a set of methods to detect network nodes failure and predict network nodes failure with failure reasons. We describe the design and implementation by using a resource-combined algorithm, Nai've Bayes Classifier and Bayes Network. Results show that with the resource-combined algorithm the performance of actual nodes failure detection can be improved. Results also show that network nodes failure can be predicted in a fixed time before actual failure with a high degree of accuracy