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Development of decision support system «BPsim.MSN». Multi-service telecommunication networks design and modeling application. Konstantin A. Aksyonov , Ph. D., IEEE member, Eugene A. Bykov , IEEE member Elena F. Smoliy Maksim V. Popov Leonid G. Dorosinskiy
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Development of decision support system «BPsim.MSN» Multi-service telecommunication networks design and modeling application Konstantin A. Aksyonov, Ph. D., IEEE member, Eugene A. Bykov, IEEE member Elena F. Smoliy Maksim V. Popov Leonid G. Dorosinskiy Ural State Technical University Ekaterinburg, Russian Federation 10th PhD Workshop on Systems and Control HlubokanadVltavou, Czech Republic, 25 September 2009 www.bpsim.ru mail@bpsim.ru
Field of Interest • System analysis of business processes • Simulation modeling • Multi-agent systems • Decision making systems • Computer-aided software engineering • Integration of simulation and CASE tools www.bpsim.ru mail@bpsim.ru
Outline • Theoretical aspects • Multi-agent approach • Decision support over simulation • Deployment experience • Demos • Conclusion www.bpsim.ru mail@bpsim.ru
BPsim products development background • Popular modeling tools comparison • Common drawbacks • Agent-based approach implementation • Retail price www.bpsim.ru mail@bpsim.ru
Model of Resource Conversion Process • Transformation of resources • Controlled by agents • Operation in/out- puts • Mechanizms • Control commands and messages www.bpsim.ru mail@bpsim.ru
Resource Conversion Process Features • Structure and behavior algorithms complexity • Large amount of parameters • Complex hierarchy • Probabilistic behavior • Decision-making processes and decision-making people definition capability www.bpsim.ru mail@bpsim.ru
Agent Features • Control over RCP objects • Environment analysis • Situation diagnosis and decision search (interaction with a database) • System goals determination, delegation and achievement control • Message exchange (communication, negotiation, etc.) www.bpsim.ru mail@bpsim.ru
Agent Properties • Individual knowledge base • Set of goals for behavior configuration setting • Priority that defines agent order in priority gaining queue www.bpsim.ru mail@bpsim.ru
Tool Application Urals Industrial Group • Model design • Defining agent settings • Monitoring goals achievement progress • Experiments output www.bpsim.ru mail@bpsim.ru
«Launch agent» knowledge base www.bpsim.ru mail@bpsim.ru
Intelligent reactive agent model Frame-based approach Decision search diagrams www.bpsim.ru mail@bpsim.ru
Multi-service network model www.bpsim.ru mail@bpsim.ru
Demo Multi-agent simulation www.bpsim.ru mail@bpsim.ru
Conclusions • Integration of • Simulation and multi-agent approach • Expert system • Situational modeling • Result – intelligent decision support system, applied to multi-service network design www.bpsim.ru mail@bpsim.ru
Q/A Thank you for your attention! Questions? www.bpsim.ru www.bpsim.ru mail@bpsim.ru