@conference {
	title = {A Framework for Supporting Intelligent Fault and Performance Management for Communication Networks},
	author = {Li, Hongjun., Baras, John S.},
	year = {2001},
	month = {10/2001},
	abstract = {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.},
	address = {Chicago, Illinois},
	booktitle = {IFIP / IEEE MMNS 2001},
	pages = {pp. 227-240}
}
@conference {
	title = {System designs for adaptive, distributed network monitoring and control},
	author = {Li, Hongjun., Yang, Shahan., Xi, Haifeng., Baras, John S.},
	year = {2001},
	month = {05/2001},
	abstract = {We present system designs for adaptive, distributed network monitoring and control. The ideas are to distribute some processing intelligence to network elements, and to 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 C/C++ dynamic linkage mechanism to fulfill such a requirement under different situations and our system designs span a wide scope of applications},
	address = {Seattle, WA},
	booktitle = {IEEE/IFIP International Symposium on Integrated Network Management}
}
@conference {
	title = {An Automated, Distributed, Intelligent Fault Management System for Communication Networks},
	author = {Li, Hongjun., Baras, John S., Mykoniatis, George.},
	year = {1999},
	month = {02/1999},
	abstract = {In this paper we present a Distributed Intelligent Fault Management (DIFM) system for communication networks. The overall architecture of the proposed system is based on a distributed cooperative multi-agent paradigm, with probabilistic networks as the framework for knowledge representation and evidence inferencing. We adopt the management by delegation paradigm [5] for network monitoring and integrate both hard and soft faults.},
	address = {College Park, MD},
	booktitle = {3rd Annual Conference on Advanced Telecommunications and Information Distribution Research Program(ATIRP)},
	pages = {pp. 253-257},
	organization = {University of Maryland}
}
@techreport {
	title = {On System Designs of Distributed, Extensible Framework for Network Monitoring and Control},
	author = {Li, Hongjun., Yang, Shahan.},
	year = {2001},
	month = {01/2001},
	abstract = {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.},
	number = {Number: CSHCN TR 2001-12}
}
@techreport {
	title = {A Framework for Supporting Intelligent Fault and Performance Management for Communication Networks},
	author = {Li, Hongjun.},
	year = {2001},
	month = {01/2001},
	abstract = {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.},
	number = {Number: CSHCN TR 2001-13}
}
@techreport {
	title = {Intelligent Distributed Fault Management for Communication Networks},
	author = {Li, Hongjun.},
	year = {2000},
	month = {01/2000},
	abstract = {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{\textquoteright}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.},
	number = {Number: CSHCN TR 2000-15}
}
