Presentation 2005-10-21
Heuristic Approach in Simulating Collaborative Systems Performance
Tad GONSALVES, Kiyoshi ITOH,
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Abstract(in English) The domain expert's heuristics in the performance improvement of collaborative systems are systematized as qualitative rules. An expert system built by using the qualitative rules, diagnoses the bottlenecks in system operation and suggests improvement in the operation. However, bottlenecks cannot be completely resolved owing to the constraints imposed on system resources. Our strategy is to resolve local bottlenecks, while keeping in check the global state of the system. No local bottleneck may be improved at the cost of incurring fresh bottlenecks elsewhere in the network. Performance improvement task is guided by a set of forward propagation and backward propagation rules; in particular, the changes to be made in the upstream of the network so as to resolve a given bottleneck are guided by the backward propagation rules. The effect on the downstream of the network due to the resolution of the network is given by the forward propagation rules.
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Keyword(in English) Heuristics / qualitative reasoning / expert system / performance design
Paper # AI2005-15
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Conference Information
Committee AI
Conference Date 2005/10/14(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Heuristic Approach in Simulating Collaborative Systems Performance
Sub Title (in English)
Keyword(1) Heuristics
Keyword(2) qualitative reasoning
Keyword(3) expert system
Keyword(4) performance design
1st Author's Name Tad GONSALVES
1st Author's Affiliation ()
2nd Author's Name Kiyoshi ITOH
2nd Author's Affiliation
Date 2005-10-21
Paper # AI2005-15
Volume (vol) vol.105
Number (no) 361
Page pp.pp.-
#Pages 6
Date of Issue