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提出一种基于局部最优云服务选择模型的云资源调度算法,通过主客观赋权模式来确定各云服务属性的权重,再引入序数效用函数作为局部最优云服务排序的依据.仿真实验结果分析表明,该算法能够充分体现用户偏好,有效提高云资源预留服务的利用率并能够缩小问题求解空间,在云资源调度系统的有效性、负载均衡离差、算法时间代价等方面均实现了较好性能.
This paper proposes a cloud resource scheduling algorithm based on local optimal cloud service selection model, determines the weight of each cloud service attribute through the subjective and objective weighting modes, and then introduces the ordinal utility function as the basis for local optimal cloud service ordering. The analysis shows that the algorithm can fully reflect the user preferences, effectively improve the utilization rate of cloud resource reservation service and can reduce the problem solving space, and achieve the effectiveness of the cloud resource scheduling system, load balancing and dispersion, the algorithm time cost and so on Better performance.