本文针对云计算中资源调度问题进行了研究，提出云计算资源调度的蚁群优化算法，在算法设计中综合考虑了在云计算环境中任务完成时间和计算成本优化问题，建立数学模型，并通过cloudsim平台进行实验仿真测试。验证表明算法模型能使总任务完成时间较短、成本较小，是一种有效的资源调度算法。%This article focused on the resource scheduling in cloud computing. It proposed the ant colony optimization algorithm for cloud computing resource scheduling. In the algorithm design, we considered the time consume and cost optimization to establish and simulate the mathematical model in CloudSim platform tests. Verification showed that the algorithm model enabled the reduce of total task completion time, with lower cost. It was proved to be an effective resource scheduling algorithm.
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