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A dynamic data allocation method with improved load-balancing for cloud storage system

机译:一种改进了负载均衡的云存储系统动态数据分配方法

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With the growing demand of data and the increase of the user scale, data allocation technology has become a key technology for improving scalability and flexibility in current mass storage system such as cloud storage system. This paper proposed an efficient dynamic data allocation strategy with data partitioning and load balancing. Based on the basic idea of consistent hashing algorithm, the strategy introduced the concept of virtualization technology and improved the load-balance with employing virtual node. Moreover, the strategy adopted a novel available-storage-capacity-aware and storage- capacity-utilization-aware method to enhance the performance of the cloud storage system??The simulation results demonstrate that the proposed data allocation strategy improves system performance in both homogeneous and heterogeneous distributed storage architectures.
机译:随着数据需求的增长和用户规模的增加,数据分配技术已经成为提高诸如云存储系统等当前大容量存储系统的可扩展性和灵活性的关键技术。本文提出了一种有效的动态数据分配策略,该策略具有数据分区和负载平衡功能。该策略基于一致性哈希算法的基本思想,引入了虚拟化技术的概念,并通过使用虚拟节点改善了负载平衡。此外,该策略采用了一种新的可用存储容量感知和存储容量利用感知方法,以提高云存储系统的性能。仿真结果表明,所提出的数据分配策略在同构中均提高了系统性能。和异构的分布式存储架构。

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