ACM Transactions on Database Systems (TODS)
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
StreamGlobe: adaptive query processing and optimization in streaming P2P environments
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
StreamGlobe: processing and sharing data streams in grid-based P2P infrastructures
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Processing conjunctive predicates and queries
VLDB '80 Proceedings of the sixth international conference on Very Large Data Bases - Volume 6
Containment of nested XML queries
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Resource sharing in continuous sliding-window aggregates
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
The case for precision sharing
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Black-box determination of cost models' parameters for federated stream-processing systems
Proceedings of the 15th Symposium on International Database Engineering & Applications
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Recent research efforts in the fields of data stream processing and data stream management systems (DSMSs) show the increasing importance of processing data streams, e. g., in the e-science domain. Together with the advent of peer-to-peer (P2P) networks and grid computing, this leads to the necessity of developing new techniques for distributing and processing continuous queries over data streams in such networks. In this paper, we present a novel approach for optimizing the integration, distribution, and execution of newly registered continuous queries over data streams in grid-based P2P networks. We introduce Windowed XQuery (WXQuery), our XQuery-based subscription language for continuous queries over XML data streams supporting window-based operators. Concentrating on filtering and window-based aggregation, we present our stream sharing algorithms as well as experimental evaluation results from the astrophysics application domain to assess our approach.