ACM Transactions on Database Systems (TODS)
STREAM: the stanford stream data manager (demonstration description)
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Nile: A Query Processing Engine for Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Information Sciences: an International Journal
Borealis-R: a replication-transparent stream processing system for wide-area monitoring applications
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Multiple continuous queries evaluation over data streams
ACS'08 Proceedings of the 8th conference on Applied computer scince
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A data stream management system (DSMS) should support an efficient evaluation scheme for long-running continuous queries over infinite data streams. This demonstration presents a scalable query processing engine, M-COPE (Multiple Continuous Query Processing Engine) developed to evaluate multiple continuous queries efficiently. A multiple query optimization scheme implemented in the system generates a single network of operations as an execution plan for registered queries in order to maximize the reuse of the intermediate results of common sub-expressions in the queries adaptively. In this paper, we describe the overall architecture of M-COPE along with its special features. Network traffic flow streams are used to demonstrate the main features of M-COPE.