Broadcast disks: data management for asymmetric communication environments
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Exploiting Punctuation Semantics in Continuous Data Streams
IEEE Transactions on Knowledge and Data Engineering
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Holistic UDAFs at streaming speeds
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Exploiting k-constraints to reduce memory overhead in continuous queries over data streams
ACM Transactions on Database Systems (TODS)
Flexible time management in data stream systems
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Stream window join: tracking moving objects in sensor-network databases
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Tribeca: a system for managing large databases of network traffic
ATEC '98 Proceedings of the annual conference on USENIX Annual Technical Conference
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Scheduling for shared window joins over data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Processing sliding window multi-joins in continuous queries over data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Resource sharing in continuous sliding-window aggregates
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Query languages and data models for database sequences and data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Extending XQuery with window functions
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
A Semantics for a Query Language over Sensors, Streams and Relations
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
Measuring evolving data streams' behavior through their intrinsic dimension
New Generation Computing
Supporting views in data stream management systems
ACM Transactions on Database Systems (TODS)
On-the-fly progress detection in iterative stream queries
Proceedings of the VLDB Endowment
High-performance dynamic pattern matching over disordered streams
Proceedings of the VLDB Endowment
SECRET: a model for analysis of the execution semantics of stream processing systems
Proceedings of the VLDB Endowment
Monitoring abnormal patterns with complex semantics over ICU data streams
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Window specification over data streams
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Transactional stream processing
Proceedings of the 15th International Conference on Extending Database Technology
Continuous query processing with concurrency control: reading updatable resources consistently
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Modeling the execution semantics of stream processing engines with SECRET
The VLDB Journal — The International Journal on Very Large Data Bases
Data stream processing with concurrency control
ACM SIGAPP Applied Computing Review
| Hi-index | 0.00 |
What does a data stream mean? Much of the extensive work on query operators and query processing for data streams has proceeded without the benefit of an answer to this question. While such imprecision may be tolerable when dealing with simple cases, such as flat data, guaranteed physical order and element-wise operations, it can lead to ambiguities when dealing with nested data, disordered streams and windowed operators. We propose reconstitution functions to make the denotation and representation of data streams more precise, and use these functions to investigate the connection between monotonicity and non-blocking behavior of stream operators. We also touch on a reconstitution function for XML data. Other aspects of data stream semantics we consider are the use of punctuation to delineate finite subsets of a stream, adequacy of descriptions of stream disorder, and the formal specification of windowed operators.