Model and Optimization of Mobile Agent´s Migration in Grid

Because of autonomy and intelligence of mobile agent, mobile agents can be used to take tasks of applications to access grid services in dynamic heterogeneous grid environments. According to the features of grid environment and mobile agent, a new TSP model is presented to describe mobile agent´s migration in Grid and a new algorithm- bi-pheromone ant colony optimization algorithm is proposed to optimize mobile agent´s migration in grid. In this algorithm, not only network load but also service nodes´ ability and load are considered. Simulation experiments have proved that this algorithm can converge to shorter paths more quickly than traditional ant colony optimization algorithm in the new TSP model. This means it is a better path optimization algorithm for mobile agent´s migration in Grid.