Bio-inspired Fault Tolerant and Adaptive System Modeling and Simulation on the Grid

Grid computing, which is characterized as large-scale distributed resources sharing and cooperation, is becoming a mainstream technology in distributed computing. In this paper, we present the idea of applying grid-computing technology to model and simulate large-scale and high-performance bioinspired fault tolerant and adaptable control system. Gridbased workflow management service is employed to cooperate various grid services and organizations for modeling and simulating the process of designing the bio-inspired control system. The large-scale processing capability of the grid helps to establish the grid-based distributed sensory system model inspired by a biological neuron. The multi-organization collaboration facility of the grid is used to implement the fault detection and prevention model inspired by the defense mechanism of a biological body. The tremendous amount of sharing computational resource in the grid enable us to perform large-scale simulation of reconfigurable and adaptive strategy inspired by the self-healing capability of biological systems. The grid-computing infrastructure of modeling and simulating the bio-inspired control system in large scale is expected to lead to a deeper understanding of system mechanism and then a more advanced design of the modern control system.