Optimal Stochastic Scaling for CAE Parallel Computations
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Multi-Agent Computing System in a Heterogeneous Network
PARELEC '02 Proceedings of the International Conference on Parallel Computing in Electrical Engineering
An Agent-Based Approach To a Hard Computing System -Smart Solid
PARELEC '02 Proceedings of the International Conference on Parallel Computing in Electrical Engineering
A distributed diffusion method for dynamic load balancing on parallel computers
PDP '95 Proceedings of the 3rd Euromicro Workshop on Parallel and Distributed Processing
Architectural principles and scheduling strategies for computing agent systems
Fundamenta Informaticae - Special issue on theory and applications of soft computing (TASC04)
Task Hibernation in a Formal Model of Agent-Oriented Computing Systems
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
A formal model of multi-agent computations
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
The autonomous concurrent strategy for large scale CAE computation
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Computing MAS dynamics considering the background load
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Hi-index | 0.00 |
The paper presents the Multi Agent System (MAS) designed for the large scale parallel computations. The special kind of diffusion-based scheduling enables to decompose and allocate the migrable computing agents basing only of the local information. The paper introduces the formal model of the MAS under consideration in order to depict the roles of agent behavior and the whole system dynamics. The optimal scheduling problem for MAS as well as the way of its verification was presented in terms of such model. The brief report of the test results is stressed in the section 6.