Load-Balancing for Large Scale Situated Agent-based Simulations | Zendy

Omar Rihawi | Zendy; Yann Secq | Zendy; Philippe Mathieu | Zendy

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Load-Balancing for Large Scale Situated Agent-based Simulations

Author(s) -

Omar Rihawi,

Yann Secq,

Philippe Mathieu

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.05.204

Subject(s) - computer science , distributed computing , scale (ratio) , load balancing (electrical power) , situated , load distribution , artificial intelligence , physics , geometry , mathematics , structural engineering , quantum mechanics , engineering , grid

International audienceIn large scale agent-based simulations, memory and computational power requirements can increase dramatically because of high numbers of agents and interactions. To be able to simulate millions of agents, distributing the simulator on a computer network is promising, but raises some issues like: agents allocation and load-balancing between machines. In this paper, we study the best ways to automatically balance the loads between machines in large scale situations. We study the performance of two different applications with two different distribution approaches, and we show in our experimental results that some applications can automatically adapt the loads between machines and get alone a high performance in large scale simulations with one distribution approach than the other

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