中文摘要：

针对常规云计算资源预测算法不能在异常网络环境下做到精准预测的难题,提出一种基于改进蚁群算法的调度策略.该策略融入了信息数的概念,既能快速均衡负载,又能保障用户在多条件下云计算的需要,合理降低能耗,提高云计算性能.实验结果表明,基于改进的蚁群调度算法提高了云计算资源利用率,降低了能量消耗,使单节点处理任务量有较大提升,极大提高了云计算的性能和服务质量.

英文摘要：

Aiming at the problem that conventional cloud computing resource prediction algorithm could not predict accurately in the abnormal network environment,the author proposed a scheduling strategy based on improved ant colony algorithm.The strategy integrated the concept of the number of information,which could not only balance load quickly,but also ensure users＇ needs under multiple conditions,reduce energy consumption and improve the performance of cloud computing.The experimental results show that the improved ant colony scheduling algorithm improves the utilization of cloud computing resources,reduces energy consumption and increases task capacity for every single node,and greatly improves the performance of cloud computing and service quality.