Considering massive scale of cloud storage solutions, the traditional data distribution strategy confronts challenges to improve scalability and flexibility. This paper proposed an efficient data distribution strategy. Based on consistent hashing algorithm, the strategy introduced the virtualization technology, and employed virtual node to improve load balance. Moreover, the strategy used a new capacity-aware method to improve the performance of the cloud storage system. The evaluation experiments demonstrate that the proposed data distribution strategy improves system performance in both homogeneous and heterogeneous distributed storage architectures.%针对当前云存储系统海量数据应用环境中数据分布策略可扩展性以及灵活性的不足,提出一种高效的数据分布策略.一方面,该策略基于一致性哈希数据分布算法,引入了虚拟化的设计思路,采用虚拟节点进行存储资源分配；另一方面,该策略采用了一种基于节点容量感知的负载均衡方法,有效地优化了系统性能,提高了系统可扩展性.通过实验分析,不管在同构还是异构的云存储架构中,该策略改善了存储资源负载均衡程度,有效优化了系统整体性能.
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