Data-stream management system

A Data-stream management system (DSMS) is a computer program that controls the maintenance and querying of data in data streams. A key feature of these DSMSs is the ability to execute a continuous query against a data stream. The use of a DSMS to manage a data stream is roughly analogous to the use of a database management system (DBMS) to manage a conventional database. A conventional database query executes once and returns a set of results for a given point in time. In contrast, a continuous query continues to execute over time, as new data enters the stream. The results of the continuous query are updated as new data appears.

Early data-stream management systems include Wisconsin's NiagaraCQ ^[1], Stanford's Stream^[2], Berkeley's TelegraphCQ^[3] (based on the earlier CACQ System ^[4]), and MIT/Brown/Brandeis's Aurora/Borealis ^[5].

References

1. ^ Chen, J. et al, "NiagaraCQ: A Scalable Continuous Query System for Internet Databases." SIGMOD 2000.
2. ^ Arasu, A., et. al. STREAM: The Stanford Data Stream Management System. Technical Report. 2004, Stanford InfoLab.
3. ^ Chandrasekaran, S. et al, "TelegraphCQ: Continuous Dataflow Processing for an Uncertain World." CIDR 2003.
4. ^ Madden, S. et al. "Continuously Available Continuous Queries over Streams." SIGMOD 2002.
5. ^ Abadi et al. "Aurora: A Data Stream Management System", SIGMOD 2003

External links

• Using Data Stream Management Systems for Traffic Analysis:­ A Case Study
• Aurora: A Data Stream Management System
• STREAM: Stanford Stream Data Manager
• NiagaraST: A Research Data Stream Management System at Portland State University
• Processing Flows of Information: From Data Stream to Complex Event Processing - Survey article on Data Stream and Complex Event Processing Systems