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» CBR for Modeling Complex Systems
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WSC
2000
15 years 6 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
TC
2010
14 years 11 months ago
Model-Driven System Capacity Planning under Workload Burstiness
In this paper, we define and study a new class of capacity planning models called MAP queueing networks. MAP queueing networks provide the first analytical methodology to describe ...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
INFOCOM
2010
IEEE
15 years 3 months ago
Linear Programming Models For Multi-Channel P2P Streaming Systems
Abstract—Most of the commercial P2P video streaming deployments support hundreds of channels and are referred to as multichannel systems. Measurement studies show that bandwidth r...
Miao Wang, Lisong Xu, Byrav Ramamurthy
TCS
2008
15 years 4 months ago
GemCell: A generic platform for modeling multi-cellular biological systems
The mass and complexity of biological information requires computer-aided simulation and analysis to help scientists achieve understanding and guide experimentation. Although livi...
Hila Amir-Kroll, Avital Sadot, Irun R. Cohen, Davi...
PADS
2005
ACM
15 years 10 months ago
Optimistic Parallel Discrete Event Simulations of Physical Systems Using Reverse Computation
Efficient computer simulation of complex physical phenomena has long been challenging due to their multiphysics and multi-scale nature. In contrast to traditional time-stepped exe...
Yarong Tang, Kalyan S. Perumalla, Richard M. Fujim...