Title :
Towards optimizing the dynamic placement of tasks by Multi Agent Systems
Author :
Abderrahim, Z. ; Hamrouni, N.
Author_Institution :
ISBS, UR-SETIT, Sfax, Tunisia
Abstract :
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.
Keywords :
Petri nets; multi-agent systems; multiprocessing systems; performance evaluation; APN; MAS modeling; agent Petri nets; dynamic task placement algorithm optimization; multiagent systems; multiprocessor system performance improvement; Dynamic scheduling; Educational institutions; Heuristic algorithms; Load management; Petri nets; Program processors; Resource management; APN; MAS; dynamic placement; hybrid agents; processors; reactive agents; task;
Conference_Titel :
Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1657-6
DOI :
10.1109/SETIT.2012.6481890
