关键词: 云工作流, 隐私, 成本, 调度, 感知

Abstract: To meet the needs of protecting user's privacy in practical cloud workflow applications,a relevant cloud workflow scheduling model was constructed.Based on the intelligent optimization algorithms of Particle Swarm Optimization (PSO) and Simulated Annealing algorithm (SA),a privacy-aware and cost-aware cloud workflow scheduling algorithm named CP-PSO was designed by introducing task priority computing strategy in CPOP.Each workflow's task priority was computed by using summation of upward and downward rank values with consideration of execution cost,and the optimal scheduling solution could be obtained by combining user's privacy protection needs with intelligent optimization.The simulation experiments showed the effectiveness of the proposed method.

Key words: cloud workflow, privacy, cost, scheduling, aware