摘要
基于对目前提出的各种云计算环境中任务调度算法和现有云计算编程框架的研究,提出一种利用免疫原理的自我调节机制来保持蚁群多样性的免疫蚁群算法。该算法有效的解决了传统蚁群算法收敛速度慢,易停滞等缺点,提高了算法的收敛速度,减少了云计算中任务调度的时间开销。通过构建在CloudSim仿真平台上的实验数据表明,基于免疫蚁群算法的任务调度策略能够较大的提高云计算效率。
Based on present various cloud computing environment task scheduling algorithm and existing cloud computing programming framework , an immune ant colony algorithm , which uses the immune principle of self-regulation mechanism to maintain the ant colony diversity ,has been put forward .This ant colony algorithm ,which highly improves the speed of convergence of the algorithm and reduces the time of task scheduling in cloud computing , has effectively solved the problems of the slow convergence , being easy to stagnation and other shortcomings .The experimental data built on the platform of CloudSim simulation indicate that the task scheduling strategy based on immune ant colony can greatly improve the efficiency of cloud computing .
基金
安徽省高等学校省级自然科学研究项目(KJ2010B079)
