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ILDM:数据生命周期动态管理 被引量:4

ILDM:Information Lifecycle Dynamic Management
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摘要 在完全自动化的数据生命周期管理(Information Lifecycle Management)中,数据的价值以及随着时间改变而带来的价值变化是进行数据分级的重要依据。与以往多数考虑文件的使用等影响数据价值的因素的数据价值模型不同,在ILM价值模型基础上,考虑磁盘的数据分布随时间变化对数据价值的影响,提出了数据生命周期动态管理价值模型ILDM(Information Lifecycle Dynamic Management),它综合考虑数据的最近使用、数据的使用频度、数据的分布等因素。通过实验验证表明,ILDM可有效地减少数据迁移工作量,提高系统资源利用率。 The most important basis of data classification is data's values and how they change over time in the period of fully automated Information Lifecycle Management(ILM). Different from the departed value model that uses the de- gree of information usage to classify the file, the ILDM based on the ILM was proposed, which uses the data distribution to classify the information. The recency, the degree of information usage and the data distribution are taken into consi- deration in this model. It can be concluded from the experiment that this method is helpful for reducing the migration workload and enhancing the utilization ratio of the system resource.
出处 《计算机科学》 CSCD 北大核心 2011年第12期239-241,262,共4页 Computer Science
关键词 数据价值 价值模型 数据分布 ILM Information value, Value model, Data distribution, ILM
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参考文献17

  • 1Lyman P,Varian H R,Swearingen K,et al. How much informa tion [EB/OL]. http://www, sims. berkeley, edu/research/projects/how-much-info-2003/, October 2003.
  • 2Chen Ying. Information Valuation for Information Lifeeyele management[C]//Proceeding of the 2nd International Conference on Autonomic Computing. Washington, DC:IEEE Computer Society,June 2005 : 135-146.
  • 3Public Law 104-191. Health insurance portability and accountability act [EB/OL]. http://aspe, hhs. gov/adnsimp/p1104191. htm, August 1996.
  • 4Public Law 107-204. Sarbanes-Oxley, An Act[EB/OL]. http:// corporate, findlaw, com/industry/corporate/docs/publ07. 204. pall,July 2002.
  • 5DOD 5012.2-STD. Design criteria standard for electronic records management software applications[R]. Assistant Secretary of Defense for Command, Control, Communications, and Intelligence, June 2002.
  • 6Chen Ying. Information Valuation for Information Lifecycle Management[R]. Storage Systems Department, IBM Almaden Research Center.
  • 7Johnson C. ILM Case Study: Complete Data Lifecycte Management Solution[EB/OL]. http://www, snia. org/tech activities/ dmf/ILM Solutions_Conference/2004/Agenda/Mustang, October 2004.
  • 8Pierre E. Introduction to ILM: A Tutorial [EB/OL]. http..// www. snia. org/tech_ activities/dmf/ILMSolutionsConference/ 2004/Agenda/IntroduetionILM, October 2004.
  • 9Ganger G R, John D S, Klosterman A J. Self * StorageBrick based Storage with Automated Administration[R]. CMU -CS-03-178. Carnegie Mellon University, August 2003.
  • 10Mesnier M,Thereska E, Ganger G R, et al. File classification in self-* storage systems[C]//Proceedings of the First Interna tional Conference on Autonomic Computing (ICAC 04 ). New York, NY, May 2004.

二级参考文献17

  • 1冯泳,张延园.数据迁移在SAN中性能优化的研究和应用[J].计算机工程,2005,31(7):43-45. 被引量:5
  • 2Childs S. Information Classifition.. The Cornerstone to Information Management [EB/OL]. 2006. http: //www, snia. org/education/tutorials/2007/fall/data-management/SheilaChilds _ Information_Classification.pdf
  • 3Li Yin, Uttamchandani S, Palmer J, et al. AutoLoop: Automated Action Selection in the Observe-Analyze-Act Loop of Storage Systems[C]//Proceeding of The 6th International Workshop on Policies for Distributed Systems and Networks (POLICY'05). Washington, DC: IEEE Computer Society, April 2005:129-138
  • 4Mesnier M, Thereska E, Ganger G R, et al. File classification in self-* storage sYstems[C] //Proceeding of the First International Conference on Autonomic Computing (ICAC-04). Washington, DC:IEEE Computer Society, May 2004 : 44-51
  • 5Ganger G R, John D S, Klosterman A J. Self-* Storage: Brickbased Storage with Automated Administration[R]. Carnegie Mellon University:CMU-CS-03-178,August 2003
  • 6Ellard D, Mesnier M, Thereska E, et al. Attribute-Based Prediction of File Properties[R]. Harvard Computer Science Group: TR-14-03. December 2003
  • 7Lin Qiao, Iyer B R, Agrawal D, et al. PulStore: Automated Storage Management with QoS Guarantee in Large-scale Virtualized Storage Systems[C] //Proceeding of IEEE International Conference on Autonomic Computing (ICAC). Washington, DC: IEEE Computer Society, March 2005: 302-303
  • 8WangMengzhi, Au K, Ailamaki A, et al. Storage Device Performance Prediction with CART Models[C]//Proceeding of the 12th MASCOTS Volendam. October 2004:588-595
  • 9Sundaram V, Shenoy P. Efficient Data Migration for Load Balancing Large-scale Storage Systems[R]. TR05-51. July 2005
  • 10Sundaram V, Wood T, Shenoy P. Efficient Data Migration in Self-managing Storage Systems[C] // Proceeding of Autonomic Computing. June 2006 : 297-300

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同被引文献67

  • 1朱聪,周文芳.数据保存策略与生命周期管理[J].图书馆杂志,2006,25(4):11-13. 被引量:5
  • 2李贵孚,柳青.特征价格模型在信息商品定价中的应用[J].情报科学,2006,24(11):1641-1645. 被引量:6
  • 3美国北卡罗来纳大学信息学院院长来我院介绍科学数据管理研究进展[EB/OL].[2013-04-15].http://jirm.whu.edu.cn:81/Jweb-wd/CN/column/item88.shtml.
  • 4堪萨斯大学[EB/OL].[2013-05-01].http://baike.baidu.com/view/1032443.htm.
  • 5KU Libraries : Strategic Directions 2012-2017 [ EB/OL]. [ 2012 - 01 - 01 ]. http: //www. lib. ku. edu/strategicplan/index, shtml.
  • 6Lai Yushu,Xiong Yan.Hierarchical storage model and priority ranking method of rules in rule-based reasoning system[J].International Journal of Computational Intelligence Systems,2014,7(4):676-685.
  • 7Hu Yuanyuan,Wang Lu,Zhang Xiaodong.Cloud storage virtualization technology and its architecture[J].Applied Mechanics and Materials,2015,3744(713):2435-2439.
  • 8Laliberte B.Automate and optimize a tiered storage environment-FAST![R].EMC White Paper,2009:14-19.
  • 9IBM Inc.A blueprint for smarter storage management optimizing the storage environment with automation and analytics[R].IBM White Paper,2011:15-21.
  • 10LYU Shuai.Research on object-based data migration technology of hierarchical storage system[D].Changsha:School of National University of Defense Technology,2009:23-32.

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