Qualitative reasoning about physical systems
Qualitative reasoning about physical systems
D-timed Petri nets and modelling of timeouts and protocol
Transactions of the Society for Computer Simulation International
Qualitative reasoning: modeling and simulation with incomplete knowledge
Qualitative reasoning: modeling and simulation with incomplete knowledge
Timed Petri nets as a verification tool
Proceedings of the 30th conference on Winter simulation
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
A Generalized Timed Petri Net Model for Performance Analysis
International Workshop on Timed Petri Nets
Use of Petri Nets for Performance Evaluation
Proceedings of the Third International Symposium on Measuring, Modelling and Evaluating Computer Systems
Stochastic Petri nets: an elementary introduction
Advances in Petri Nets 1989, covers the 9th European Workshop on Applications and Theory in Petri Nets-selected papers
The derivation of performance expressions for communication protocols from timed petri net models
SIGCOMM '84 Proceedings of the ACM SIGCOMM symposium on Communications architectures and protocols: tutorials & symposium
ANALYSIS OF ASYNCHRONOUS CONCURRENT SYSTEMS BY TIMED PETRI NETS
ANALYSIS OF ASYNCHRONOUS CONCURRENT SYSTEMS BY TIMED PETRI NETS
Performance Analysis Using Stochastic Petri Nets
IEEE Transactions on Computers
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The domain expert's heuristics are used in the performance design of collaborative systems which are modelled by client-server timed Petri nets. The collaborative system Petri net model is decomposed into basic primitive structures. The performance design rules that make up the expert system are categorized according to the primitive structure type. The rules are classified as: Diagnostic Rules, Primitive Structure Rules, Upstream Search Rules, Downstream Propagation Rules and Advisory Rules. In tuning the system operation, the expert system follows the policy of local improvement, while keeping the global propagation of adverse effects of tuning to a minimum.