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数据流处理技术 被引量：5

RESEARCH ON THE KEY TECHNOLOGY IN DATA STREAM
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摘要 　处理潜在无限的连续数据流的应用日益流行,传统数据库对快速变化的数据流进行在线分析的支持存在很多限制,需要对已存在的技术进行广泛的扩展研究,构建新的系统管理数据流.本文回顾近来数据流管理系统领域的相关工作和流项目的研究情况;分析了连续查询处理的新需求和挑战及数据流系统新颖之处.并提出在数据流研究方面的一些新看法. Applications that deal with potentially unbounded continuous streams of data are becoming increasingly popular. There are a lot of limitations of traditional DBMSs in support for online analysis of rapidly changing data streams, which motivates research to augment existing technologies and constructs new systems to manage streaming data. The paper reviewed past work relevant to data stream systems and current projects in the area, explores topics in new requirements, and challenges in query processing and the novel feature of data stream systems. Some personal viewpoints of further research in data stream are given.
作者 刘景春 王永利
机构地区 佳木斯大学计算机公共教学部 东南大学计算机科学与工程系
出处 《佳木斯大学学报（自然科学版）》 CAS 2004年第4期556-560,共5页 Journal of Jiamusi University：Natural Science Edition
关键词 数据流 数据流管理系统 连续查询 data streams DSMS continuous query
分类号 TP274.2 [自动化与计算机技术—检测技术与自动化装置]
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参考文献18

  • 1R. Motwani, J. Widom, A. Arasu, B. Babcock, S. Babu, M. Datar, G. Manku, C. Olston, J. Rosenstein, R. Varma. Query Processing, Approximation,and Resource Management in a Data Stream Management System[ C]. In Proc. Conf. on Innovative Data Syst. Res, 2003,
  • 2S. Chandrasekaran, O. Cooper,A. Deshpande, M. J. Franklin, J. M. Hellerstein, W. Hong, S. Krishnamurthy,S. Madden, V. Raman, F. Reiss, M. Shah. TelegraphCQ: Continuous Dataow Processing for an Uncertain World[C]. In Proc. Conf. on Innovative Data Syst. Re
  • 3D.Carney, U. Cetintemel, M. Chemiack, C. Convey, S. Lee, G. Seidman, M. Stonebraker, N. Tatbul,S. Zdonik. Monitoring streamslA New Class of Data Management Applications[C]. In Proc. Int. Conf. On Very Large Data Bases, 2002, pp. 215- 226.
  • 4Y.Chen, G. Dong, J. Han, B. W. Wah, J. Wang. Multi - Dimensional Regression Analysis of Time- Series Data Streams[ C]. In Proc. Int.Conf. On Very Large Data Bases, 2002, pp. 323- 334.
  • 5C.Cranor, Y. Gao, T. Johnson, V. Shkapenyuk, O. Spatscheck. GigaScope: High Performance Network Monitoring with an SQL Interface[C]. In Proc. ACM Int. Conf. On Management of Data, 2002, p. 623.
  • 6B.Babcock, S. Babu, M. Datar, R. Motwani, J. Widom. Models and Issues in Data Streams[J]. In Proc. ACM Symp. On Principles of Database Systems, 2002, pp. 1- 16.
  • 7J. Chen, D. DeWitt, F. Tian, Y. Wang. NiagaraCQ:A Scalable Continuous Query System for Intemet Databases[C]. In Proc. ACM Int. Conf. On Management of Data, 2000, pp. 379 - 390.
  • 8M.Cherniack, H. Balakrishnan, M. Balazinska, D. Gamey, U. Cetintemel, Y. Xing, S. Zdonik. Scalable Distributed Stream Processing[C]. In Proc. Conf. On In - novative Data Syst. Res, 2003.
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同被引文献42

引证文献5

二级引证文献6

佳木斯大学学报（自然科学版）
2004年 第4期

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