An application of neural network and rule-based system for network management: application level problems

The more complex a network becomes, the more reliable and intelligent a network management system must be to consistently monitor the network and detect abnormal situations in a timely manner as they occur. Expert system techniques have been widely accepted to create network management systems. Despite the fact that there are a number of network management systems, most of them deal only with problems at the lower layers of the network hierarchy (the data link, or the network layer). The nature of problems at the application level significantly differ from those that occur at the lower levels. Lower layer problems are well understood while problems at the application level are complex, application dependent, and distinct from one another. Consequently, a network management system, in particular a fault management system, used at this level should be able to cope with these difficulties and dependencies. We propose a hybrid system which consists of neural network module and a rule based system for monitoring and diagnosing problems occur at the application level. The domain name system (DNS) was selected as a testbed application for the prototype system