@conference {
	title = {Hierarchical, Layered Modeling and Performance Evaluation of Hybrid Communication Networks},
	author = {Baras, John S., Corson, Scott M., Jang, Kap D., Liu, Mingyan., Misra, Archan., Xie, Hui.},
	year = {1997},
	month = {11/1997},
	abstract = {Commercial and military networks are rapidly becoming hybrid networks;~that is interconnected wireless terrestrial, wireline terrestrial and satellite networks. There is a great need for software tools to design, model and also do performance analysis efficiently for such large heterogeneous networks. This is the topic addressed in this paper. The hybrid network modeling and performance evaluation tool is currently under development at the University of Maryland. The tool consists of an algorithmic structure and a software architecture. The algorithm is hierarchical in form, deriving its structure from that of the network which follows the network{\textquoteright}s routing hierarchy. At each level, a node represents a set of nodes at a lower level. The boundary of a node is characterized by a set of statistical models. The statistics and their parametric representations for the models of the level 1 nodes are obtained from the OPNET simulations which are run offline. The model defines procedures that convey modeling, simulation and performance data up and down the hierarchy of models. We consider the following performance metrics only: end-to-end delay, throughput, blocking probabilities, cell or packet loss rate. We describe algorithms based on loss network approximations and fast progressive solutions of resulting fixed point equations.},
	address = {Monterey, CA},
	booktitle = {MILCOM \&rsquo;97},
	pages = {1-5}
}
@conference {
	title = {Tactical and Strategic Communication Network Simulation and Performance Analysis},
	author = {Baras, John S., Corson, Scott M., Doan, Khoa., Jang, Kap D., Liu, Mingyan., Misra, Archan., Xie, Hui.},
	year = {1997},
	month = {01/1997},
	abstract = {We describe a framework for the efficient modeling and performance evaluation of large networks consisting of a mixture of strategic and tactical components. The method emphasizes hierarchical, layered techniques that are fed parametric models at the lower level. In addition to the algorithmic structure, and some initial algorithms we describe an object-oriented software architecture that is under development to support these algorithmic methods in a distributed environment.},
	address = {College Park, MD},
	booktitle = {First ATIRP Annual Conference: Advanced Telecommunications/Information Distribution Research Program},
	pages = {pp. 343-347},
	organization = {University of Maryland}
}
@conference {
	title = {Performance Analysis of PNNI Routing in ATM Networks: Hierarchical Reduced Load Approximation},
	author = {Xie, Hui., Baras, John S.},
	year = {1997},
	month = {01/1997},
	abstract = {In this paper, we investigate the performance issue of PNNI routing for ATM networks. A brief introduction to PNNI routing protocol is given. We extend the reduced load approximation algorithm to ATM networks with PNNI routing. A hierarchical reduced load approximation scheme is proposed. The scheme includes two steps: the reduced load approximation algorithm is first applied on the aggregated network at upper level; then the approximation is refined at the lower level as needed using the results from the upper level. This hierarchical scheme follows the PNNI routing framework and results a fast and scaleable algorithm.},
	address = {Monterey, CA},
	booktitle = {MILCOM \&rsquo;97},
	pages = {pp. 998-1002}
}
