Abstract: We are interested in this research, by the optimized static allocation multi criteria in a real time distributed system when the tasks are subject to precedence�s constraints. Within this framework it is necessary to suppose before execution, that all the possible scenarios of executions satisfy the temporal constraints while minimizing the cost and the size of material architecture, as well as the use at best of its resources. In this problem of resource allocation (placement and scheduling), which is NP-Complete, the satisfaction of several criteria can be contradictory. For the resolution of this problem, we propose in this study, a generic multi agent system, which is a dynamic component, coupled with a static strategy of scheduling in order to particularly integrating the criterion of load balancing. Thus, the need for a dynamic model appeared to us with the consideration of the heuristic based on list scheduling. An experimental Analysis was realized under programming parallel environment PVM (Parallel Virtual Machine)} and shows the interest of our method. This for any heuristics using the dates of execution of the tasks (operations) in particular for method AAA (Algorithm Architecture and Adequacy) developed with the INRIA and which was the subject of several extensions.
Saouli Rachida , P.R. Akil Mohamed and M.C. Henni Abderrazak , 2007. A Generic Multi Agents System for Multi Criteria Optimized Allocation of Applications on Heterogeneous Architectures . Asian Journal of Information Technology, 6: 742-749.