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云计算是当前国内外企业与研究机构研究的重点,是下一代网络应用的新兴与主流技术。资源调度作为云计算中的关键问题,研究怎样将用户提交的任务合理地分配给各个计算节点同时能够兼顾计算结节的动态扩展性。本文提出运用蚁群优化算法进行资源调度,综合考虑任务完成时间和计算成本优化问题,建立数学模型,是一种有效的资源调度算法。
Cloud computing is the focus of current domestic and foreign enterprises and research institutions, is the emerging and mainstream technology of next generation network applications. Resource scheduling, as a key issue in cloud computing, studies how to allocate the tasks submitted by users to each computing node and take into account the dynamic scalability of computing nodes. In this paper, ant colony optimization algorithm is proposed for resource scheduling, considering the task completion time and computational cost optimization, and establishing a mathematical model, which is an effective resource scheduling algorithm.