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机构地区:[1]重庆邮电大学计算机科学与技术学院,重庆400065
出 处:《计算机工程与设计》2012年第7期2678-2682,2689,共6页Computer Engineering and Design
摘 要:对象存储文件系统中将大数据文件分片存储到多个存储节点上,以获取更好的并行I/O性能,提高系统吞吐率。现有对象存储文件系统的存储策略并未充分考虑存储对象本身负载的动态变化,不利于提高系统资源利用率。针对此问题,考虑存储对象的空间及I/O等负载实时变化,提出了一种简单、灵活、高效的负载均衡存储策略,并对该策略进行了实现。实验结果表明,该策略能有效提高对象存储系统资源的利用率和吞吐率,保证对象存储文件系统高效的读写性能。In order to obtain better parallel I/O performance and increase system throughput, large data files is to be assigned to multiple storage nodes in object-based storage system. Existing storage strategy in object-based storage system did not fully con- sider the dynamic variation of the load in object itself, which is not conducive to improving system resource utilization. For this problem, considering the space of the storage object and real-time variation of loads such as I/O, a simple, flexible and efficient load balancing storage strategy is propose. Experiments show that this strategy can effectively improve the utilization and throughput of resource in object-based storage system, ensuring efficient read and write performance in object-based storage system.
分 类 号:TP316.8[自动化与计算机技术—计算机软件与理论]
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