NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
WebCQ-detecting and delivering information changes on the web
Proceedings of the ninth international conference on Information and knowledge management
Monitoring XML data on the Web
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
PeerCQ: A Decentralized and Self-Configuring Peer-to-Peer Information Monitoring System
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
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
Constructing and Querying Peer-to-Peer Warehouses of XML Resources
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
StreamGlobe: processing and sharing data streams in grid-based P2P infrastructures
VLDB '05 Proceedings of the 31st international conference on Very large data bases
A framework for distributed XML data management
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Efficient maintenance techniques for views over active documents
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Satisfiability and relevance for queries over active documents
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A survey on XML streaming evaluation techniques
The VLDB Journal — The International Journal on Very Large Data Bases
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In this paper, we are concerned with the distributed monitoring of P2P systems. We introduce the P2P Monitor system and a new declarative language, namely P2PML, for specifying monitoring tasks. A P2PML subscription is compiled into a distributed algebraic plan which is described using algebra over XML streams. The operators of this algebra are first alerters in charge of detecting specific events and acting as stream sources. Other operators process the streams or publish them. We introduce a filter for streams of XML documents that scales by processing first simple conditions and then, if still needed, evaluating complex queries. We also show how particular tasks can be supported by identifying subtasks that are already provided by existing streams.