An Efficient and Secure Multi-objective Grid task Scheduling Algorithm Based on the Combination of task Survivability and Makespan
In the complex, dynamic and open grid systems, resource failure is happened frequently, resulting in inefficiency and insecurity of grid computing. To solve such a problem, we proposed a new concept, task survivability, which put the task security and the task completion time (Makespan) together;giving an adjustable multi-objective integrated utility function and obtaining a Niche Genetic Algorithm & Tabu Search Scheduling Algorithm based on the combination of task survivability and Makespan. According to the model experiment, this algorithm can balance well the two targets of task survivability and Makespan, and it should be more suitable for open complicate gird computing environment.
multi-objective Genetic algorithm Tabu search Makespan task survivability
Youwen Chen Jifeng Chen Zhiyong Li
Department of Computer Hunan International Economics University Changsha, China Department of computer Science and Communication Hunan University Changsha, China
国际会议
2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)
长沙
英文
157-161
2010-12-14(万方平台首次上网日期,不代表论文的发表时间)