NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Adaptive information filtering using evolutionary computation
Information Sciences: an International Journal - Special issue on frontiers in evolutionary algorithms
Transmission of continuous query results in mobile computing systems
Information Sciences—Applications: An International Journal
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Processing XML Streams with Deterministic Automata
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Efficient Filtering of XML Documents for Selective Dissemination of Information
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Efficient filtering of XML documents with XPath expressions
The VLDB Journal — The International Journal on Very Large Data Bases
An XML query engine for network-bound data
The VLDB Journal — The International Journal on Very Large Data Bases
Stream processing of XPath queries with predicates
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
YFilter: Efficient and Scalable Filtering of XML Documents
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Raindrop: a uniform and layered algebraic framework for XQueries on XML streams
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Path sharing and predicate evaluation for high-performance XML filtering
ACM Transactions on Database Systems (TODS)
MJoin: a metadata-aware stream join operator
Proceedings of the 2nd international workshop on Distributed event-based systems
Processing XML streams with deterministic automata and stream indexes
ACM Transactions on Database Systems (TODS)
The VLDB Journal — The International Journal on Very Large Data Bases
Optimization of continuous queries with shared expensive filters
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
XTREAM: An efficient multi-query evaluation on streaming XML data
Information Sciences: an International Journal
Query processing for high-volume XML message brokering
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
A false negative approach to mining frequent itemsets from high speed transactional data streams
Information Sciences: an International Journal
Information discovery across multiple streams
Information Sciences: an International Journal
Structural and semantic aspects of similarity of Document Type Definitions and XML schemas
Information Sciences: an International Journal
XML filtering with XPath expressions containing parent and ancestor axes
Information Sciences: an International Journal
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One of the primary issues confronting XML message brokers is the difficulty associated with processing a large set of continuous XPath queries over incoming XML streams. This paper proposes a novel system designed to present an effective solution to this problem. The proposed system transforms multiple XPath queries before their run-time into a new data structure, called an XP-table, by sharing their common constraints. An XP-table is matched with a stream relation (SR) transformed from a target XML stream by a SAX parser. This arrangement is intended to minimize the run-time workload of continuous query processing. In addition, an early-query-termination strategy is proposed as an improved alternative to the basic approach. It optimizes query processing by arranging the evaluation sequence of the member-lists (m-lists) of an XP-table adaptively and offers increased efficiency, especially in cases of low selectivity. System performance is estimated and verified through a variety of experiments, including comparisons with previous approaches such as YFilter and LazyDFA. The proposed system is practically linear-scalable and stable for evaluating a set of XPath queries in a continuous and timely fashion.