云计算环境下基于用户和资源约束的免疫效用均衡任务调度算法

Novel Immune Effectiveness Balancing Task Scheduling Algorithm Based on User and Resources Constraints in Cloud Computing Environment

针对云计算中的任务调度问题,提出了一种免疫均衡效用任务调度算法.该算法将云计算环境下任务调度问题建模为一个多目标优化模型,同时兼顾了用户任务的时间跨度和虚拟化资源的负载均衡.仿真结果表明,该任务调度算法提高了用户满意度的同时减少了任务的完成时间,是云平台下一种有效的任务调度策略.

To deal with problems for task scheduling in cloud computing, this paper proposes a immune effectiveness balancing task scheduling algorithm. The proposed algorithm is modeled as a multi-objective optimization model, taking into account the time span of tasks and load balancing of virtualized resources. The simulation result shows that the proposed algorithm is efficient to improve user satisfaction and reduce the completion time of the task.