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| Category | Value | ||
| Available via | http://dbpubs.stanford.edu/pub/2003-21 | ||
| Submitted on | 13th of March 2003 | ||
| Author | The STREAM Group | ||
| Title | STREAM: The Stanford Stream Data Manager | ||
| Date of publication | 2003 | ||
| Published in | IEEE Data Engineering Bulletin, 26(1) | ||
| Citation | The STREAM Group. STREAM: The Stanford Stream Data Manager, IEEE Data Engineering Bulletin, 26(1) | ||
| Number of pages | 8 | ||
| Language | English | ||
| Project | STREAM | ||
| Type | Conference or Journal Paper | ||
| Subject group | Data Streams; Miscellaneous | ||
| Abstract | The STREAM project at Stanford is developing a general-purpose system for processing continuous queries over multiple continuous data streams and stored relations. It is designed to handle high-volume and bursty data streams with large numbers of complex continuous queries. We describe the status of the system as of early 2003 and outline our ongoing research directions. | ||
| Contact address | shivnath@cs.stanford.edu | ||
| Sponsored by |
This work was supported by NSF Grants IIS-0118173 and IIS-9817799, by Stanford Graduate Fellowships from 3Com, Rambus, and Sequoia Capital, by a Siebel Scholarship, and by support from the Okawa Foundation, Microsoft, Stanford Networking Research Center, and Veritas. | ||
| Fulltext source |
| Management of the document by | siroker@db.stanford.edu
| |
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