Technical Reports

Thesis Papers

Authors Featured on this Page:

J.S. Baras

H. Li

H. Xi

S.-A. Yang

Papers resulting from CSHCN-related research are periodically added to the Institute for Systems Research Technical Report Database where they can be browsed by year or searched by author or keywords.

A Framework for Supporting Intelligent Fault and Performance Management for Communication Networks (CSHCN TR 2001-13) by Hongjun Li, John S. Baras

In this paper, we present a framework for supporting intelligent fault and performance management for communication networks. Belief networks are taken as the basis for knowledge representation and inference under evidence. When using belief networks for diagnosis, we identify two questions: When can I say that I get the right diagnosis and stop? If right diagnosis has not been obtained yet, which test should I choose next?

For the first question, we define the notion of right diagnosis via the introduction of intervention networks. For the second question, we formulate the decision making procedure using the framework of partially observable Markov decision processes. A heuristic dynamic strategy is proposed to solve this problem and the effectiveness is shown via simulation.

On System Designs of Distributed, Extensible Framework for Network Monitoring and Control (CSHCN TR 2001-12) by Hongjun Li, Shah-An Yang, and John S. Baras

In this paper, we present a distributed, extensible framework for supporting adaptive, dynamic network monitoring and control. We borrow the paradigm of management by delegation [8] and distribute some processing intelligence to network elements. The functionality of the delegated agents, and even that of the native software processes, could be extended dynamically without recompilation. Such procedure is called change of logic and we explain it in the framework of communicating finite state machines for extending native process functionality. We use Java technology and C/C++ dynamic linkage mechanism to achieve the standard hosting infrastructure for these agents and our system designs span a wide scope of applications.

Systems Designs for Adaptive, Distributed Network Monitoring and Control (CSHCN TR 2000-16) by Hongjun Li, Shah-An Yang, Haifeng Xi, John S. Baras

In this paper we present systems designs for adaptive, distributed network monitoring and control. The ideas are to distribute some processing intelligence to network elements, in order to efficiently utilize bandwidth and balance the computation load, and design a dynamic interface such that the delegated agents could be managed remotely by the manager. The functionality of the delegated agents, and even that of the native software processes, could be extended dynamically without recompilation. The creation, deployment, operation, and management of the delegated agents require a standard infrastructure on each system where these agents need to be hosted. We use Java technology and a C/C++ dynamic linkage mechanism to fulfill such a requirement under different situations and our systems designs span a wide scope of applications.

Intelligent Distributed Fault Management for Communication Networks (CSHCN TR 2000-15) by Hongjun Li, John S. Baras

In this paper, we present an intelligent, distributed fault management system for communication networks using belief networks as fault model and inference engine. The managed network is divided into domains and for each domain, there is an intelligent agent called Domain Diagnostic Agent attached to it, which is responsible for this domain's fault management. Belief network models are embedded in such an agent and under symptoms observation, the posterior probabilities of each candidate fault node being faulty is computed. We define the notion of right diagnosis, describe the diagnosis process based on this concept, and present a strategy for generation of test sequence.

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