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基于对象存储系统中属性管理的研究与实现

Research and realization on attribution management of object-based storage system
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摘要 针对现有属性管理方法上的缺陷和不足,提出了一种新的属性管理方法——哈希桶。哈希桶方法对对象的属性进行集中管理,不仅降低了管理存储成本,更有效地提高了系统的吞吐率。经过仿真测试表明,哈希桶对象属性管理方法性能远优于现有的属性管理方法。 The method of old attribute management, which stored the attributes at a fixed format, limited the extensibility of object and caused the management of complex. Hash bucket, the new method of attribute management was proposed to solve the flaws and shortcomings of the old one. Hash bucket, which managed the object' s attributes concentrated, reduced the storage costs on management and also improved the systems' throughout greatly. It was indicated clearly by simulation tests that hash bucket is significantly better than the old method on attribute management.
出处 《计算机应用研究》 CSCD 北大核心 2007年第11期188-190,共3页 Application Research of Computers
基金 国家"973"计划资助项目(2004CB318201)
关键词 基于对象存储系统 对象属性 哈希桶 object-based storage system(OBSS) object attribute hash bucket
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参考文献8

  • 1MESNIER M,GANGER G R,RIEDEL E.Object-based storage[J].IEEE Communications Magazine,2003,41(8):84-90.
  • 2LOHMEYER J B,PENOKIE G O,ALOISI P D,et al.Information technology SCSI object-based storage device commands (OSD),Technical Council Proposal Douament T10/1355-D[R].[S.l.]:ANSI,2004.
  • 3BRAAM P J.The Lustre storage architecture[EB/OL].http://www.lustre.org/docs/lustre.pdf.
  • 4Panasas.Object storage architecture:defining a new generation of storage systems built on distributed,intelligent storage devices[R].[S.l.]:Storage Networking Solutions Europe,2004.
  • 5FENG Dan,QIN Ling-jun,ZENG Ling-fang,et al.A scalable object-based intelligent storage device[C]//Proc of the 3rd International Conference on Machine Learning and Cybernetics.Shanghai:[s.n.],2004:387-391.
  • 6LU Ying-ping,DU D H C,RUWART T.QoS provisioning framework for an OSD-based storage system[C]//Proc of the 22nd IEEE/13th NASA Goddard Conference on Mass Storage Systems and Technologies.2005:28-35.
  • 7WANG Feng,XIN Qin,HONG Bo,et al.File system workload analysis for large scientific computing applications[C]//Proc of the 21st IEEE/12th NASA Goddard Conference on Mass Storage Systems and Technologies.2004:129-152.
  • 8BOVET D P,CESATI M.Understanding the Linux kernel[M].2nd ed.[S.l.]:O'Reilly,2002:400-465.

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