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| Content Provider | ACM Digital Library |
|---|---|
| Author | Jiang, Qingchun Chakravarthy, Sharma |
| Abstract | Currently, stream data processing is an active area of research, which includes everything from algorithms and architectures for stream processing to modelling, and analysis of various components of a stream processing system. In this paper, we present an analysis of relational operators used for stream processing using queueing theory and study behaviors of streaming data in a query processing system. Our approach enables us to compute the fundamental performance metrics of relational operators ---select, project, and join over data streams. Furthermore, this approach establishes a way to find the probability distribution functions of both the number of tuples and the waiting time of tuples in the system. Finally, we designed and implemented a number of experiments to validate the accuracy and effectiveness of our analysis. |
| Starting Page | 271 |
| Ending Page | 278 |
| Page Count | 8 |
| File Format | |
| ISBN | 1581137230 |
| DOI | 10.1145/956863.956916 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2003-11-03 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Data stream Relational operators Queueing analysis |
| Content Type | Text |
| Resource Type | Article |
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