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基于柔性放置的负载均衡策略研究

Research on Workload Balancing Strategy Based on Flexible Layout
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摘要 在基于可扩展对象的海量存储系统(Based on Scalable Object Mass Storage System,BSO-MSS)中,负载均衡一直是研究的重点,如何选择存储对象(Storage Object,SO)及数目是关键。因此提出柔性负载均衡策略,它不仅考虑网络对BSO-MSS的影响,而且更关注SO本身,针对SO中不同的存储能力,自适应选择SO数目,采用不同大小的分条进行存储。当SO数目未达到最佳值时,增加SO数目,会减少系统响应时间,提高整个系统的吞吐量。 The workload balancing is always the key of study in the Based on Scalable Object Mass Storage System(BSO-MSS).How to choice Storage Objects(SOs) and the number of them are.It presented a strategy of workload balancing in this paper.Not only do we thought over network effect on BSO-MSS,but also we noticed SOs themselves.Aiming at different storing ability of SOs,the system adapts to choice the number of SOs by itself and adopts different size of stripping for data storing.When the number of SOs don't add up to the best value,we are adding the more number,the system has the least response time.So it enhances the whole system performance.
出处 《计算机科学》 CSCD 北大核心 2011年第5期283-286,共4页 Computer Science
基金 国家自然科学基金项目(60873028) 湖北省教学研究项目(2009053) 华中科技大学实验技术研究项目资助
关键词 基于可扩展对象的海量存储系统 负载均衡 柔性放置 Based on scalable object mass storage system Workload balancing Flexible layout
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参考文献13

  • 1Intel Corporation. Object-Based Storage: The Next Wave of Storage Technology and Devices[OL]. January 2004. http:// www. intel, com/ labs/storage/osd.
  • 2Panasas Inc. Object Storage Architecture-Defining a new generation of storage systems built on distributed, intelligent storage devices [OL]. Rev. 1. 0-10/19/2003. http://www, panasas. com/docs.
  • 3Mesnier M, Ganger G R, Riedel E. Object-based storage [J]. Communication Magazine, IEEE, 2003,41 (8): 84-90.
  • 4Hospodor A, Miller E L. Interconnection architectures for petabyte-scale high-performance storage systems[A] // the 21st IEEE/12th NASA Goddard Conference on Mass Storage Systems and Technologies[C]. April 2004:273-81.
  • 5Liu Qun, Feng Dan, Qin Ling jun, et al. A Framework for Accessing General Object Storage[A] // the 2006 International Workshop on Networking, Architecture, and Storages (IWNAS2006[C]. Dalian, China: IEEE, 2006:145-148.
  • 6Liu Qun, Feng Dan. An Approximate Analytic Performance Model of Object-Based Storage[A] // the International Conference on Computational Science and Its Applications, LNCS 3980[C]. Berlin: Spring, 2006: 1045-1052.
  • 7Cabrera L-F, Long D D E. Swift.. Using Distributed Disk Striping to Provide High I/O Data Rates[J]. Computing Systems, 1991, 4(4) :405-439.
  • 8Wang Fang, Zhang Shun-da, Feng Dan, et al. A Hybrid Scheme for Object Allocation in a Distributed Object-Storage System [A]//the International Conference on Computational Science [C]. May 2006:396-403.
  • 9Roselli D, Lorch J, Anderson T. A comparison of file system workloads[A] // the 2000 USENIX Annual Technical Conference[C]. June 2000:41- 54.
  • 10HennessyJL,PattersonD A.计算机体系结构量化研究方法(英文版第3版)[M].北京:机械出版社,2002:793-802.

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