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 bio-inspired fault tolerant and adaptable control system. Grid-based 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.