一种用于云计算的数据容灾分配算法的改进

An Improved Data Disaster Allocation Algorithm for Cloud Computing

在云计算环境下进行数据容灾分配,可以提高云计算数据资源调度能力。传统算法采用粒子群数据聚类方法进行数据的容灾分配,数据负载均衡差,同时消耗数据任务调度的吞吐率。提出一种新的数据容灾分配改进算法。首先建立云计算环境下数据容灾分配层次结构模型,计算整个数据资源处理平台的整体响应时间,将云计算下的数据资源容灾分配优化问题转化为数据资源分配响应时间最小化问题;利用多用户QoS开销适应度运算机制和粒子群聚类算法对云计算中数据资源任务进行权衡分配,减少数据权衡调度时间,提高数据容灾备份能力。实验结果表明,采用改进算法可以提高数据容灾分配时数据的召回率和云计算数据任务权衡调度能力,在云计算信息处理中具有较好的应用价值。

In cloud computing environment disaster data distribution,the ability of cloud computing data resource scheduling can be improved. Traditional algorithm uses the particle swarm disaster data clustering method of data distribution,data load balance,at the same time consumption data throughput rate of task scheduling. Presents a new disaster data allocation algorithm. First a cloud computing environment disaster data distribution hierarchy model was established,the overall response time of the whole resource data processing platform was calculated,disaster will under the cloud of data resource allocation optimization problem is transformed into the data response time minimization problem of resource distribution,multiple users QoS overhead fitness operation mechanism and particle clustering algorithm were used to weigh the data resources in cloud computing task allocation. The data balance scheduling time was reduced,the ability of disaster data backup was improved. The experimental results show that the improved algorithm can improve the recall of disaster data distribution when the data rate and the cloud data task scheduling ability to balance,in cloud computing information processing has good application value.