Tasks Security Scheduling Based on DPSO in Heterogeneous Grid Environment

Abstract

For the task scheduling problem in the heterogeneous grid environment, a security benefit function is constructed by considering the task scheduling demand for confidentiality, integrity and authenticity. Then, according to the history behavior of grid resource nodes, node's credibility dynamic evaluation method is proposed by using the weighted function. Based on these, a new grid task security scheduling mode is built. In order to solve this model, a new discrete particle evolution equation is designed. Meanwhile, in order to prevent the discrete particle swarm optimization (DPSO) algorithm falling into local optimization, a uniform speed of disturbance is adopted. Through the use of probability theory, the convergence of this algorithm is proved. Simulation results show that the proposed algorithm has good optimization performance and convergence property.