Towards optimizing the dynamic placement of tasks by Multi Agent Systems
Zeineb Abderrahim, Nessrine Hamrouni · 2012
This In this paper, we suggest a model of dynamic placement of task by a Multi Agent System (MAS) which aims at improving the system performance and optimizing the algorithm of dynamic placement of task. For the modeling of MAS, we use the Agent Petri Nets (APN) to enrich the interaction and behavior of tasks and processors and to fortify their autonomy and ability to adapt and evolve in a multiprocessor system.