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Issue No.06 - November/December (2008 vol.12)
pp: 13-21
Yijian Bai , Google
Hetal Thakkar , University of California, Los Angeles
Haixun Wang , IBM T.J. Watson Research Center
Carlo Zaniolo , University of California, Los Angeles
Relational query languages can effectively express continuous queries on data streams after modest extensions. However, implementing such queries efficiently in data stream management systems requires major changes in execution models and optimization techniques. In particular, finer-granularity execution models that are conducive to effective time-stamp management and response-time optimization must replace databases' relational algebra schemes. This article introduces such a model and uses it to solve the idle-waiting problems of data stream operators, such as unions, joins, and aggregates over windows with slides.
continuous queries, relational data streams, response time optimization, data stream management
Yijian Bai, Hetal Thakkar, Haixun Wang, Carlo Zaniolo, "Time-Stamp Management and Query Execution in Data Stream Management Systems", IEEE Internet Computing, vol.12, no. 6, pp. 13-21, November/December 2008, doi:10.1109/MIC.2008.133
1. B. Babcock et al., "Models and Issues in Data Stream Systems," Proc. 21st ACM Symp. Principles of Database Systems (PODS 02), ACM Press, 2002, pp. 1–16.
2. Y.-N. Law, H. Wang, and C. Zaniolo, "Query Languages and Data Models for Database Sequences and Data Streams," Proc. 30th Int'l Conf. Very Large Databases (VLDB 04), VLDB Endowment, 2004, pp. 492–503.
3. T. Johnson et al., "A Heartbeat Mechanism and its Application in Gigascope," Proc. 31st Conf. Very Large Databases (VLDB 05), VLDB Endowment, 2005, pp. 1079–1088.
4. Y. Bai et al., "A Data Stream Language and System Designed for Power and Extensibility," Proc. 15th ACM Int'l Conf. Information and Knowledge Management, (CIKM 06), ACM Press, 2006, pp. 337–346.
5. J. Kang, J.F. Naughton, and S. Viglas, "Evaluating Window Joins over Unbounded Streams," Proc. IEEE Int'l Conf. Data Eng. (ICDE 03), IEEE CS Press, 2003, pp. 341–352.
6. J. Li et al., "Semantics and Evaluation Techniques for Window Aggregates in Data Streams," Proc. 2005 ACM SIGMOD Int'l Conf. Management of Data, (SIGMOD 05), ACM Press, 2005, pp. 311–322.
7. S. Roger et al., "Consistent Streaming through Time: A Vision for Event Stream Processing," Proc. 3rd Biennial Conf. Innovative Data Systems Research (CIDR 07), 2007, pp. 363–374; .
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