Y. Derbal (Canada)
Grid Computing, Dynamical System Simulation, Web Services.
Grid computing may offer the potential for compute intensive simulations of systems and processes such as those associated with Computational Fluid Dynamics and protein design. Such potential is arguably difficult to realize due to some challenging issues associated with distributed computing systems; including latency, asynchronous communication, and the ubiquity of faults. Various research efforts have been focused on developing grid architectures and mechanisms to minimize the effect of latency and improve the fault-tolerance of resource management systems. In this respect, this paper describes a grid simulation platform geared towards the minimization of the effect of latency through an integration of the domain decomposition approach to process simulation with a chosen neighborhood-based grid architecture. The operation of the proposed platform is illustrated through an experimental simulation of a two dimensional diffusion process.
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