Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
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
PSoup: a system for streaming queries over streaming data
The VLDB Journal — The International Journal on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
Update-pattern-aware modeling and processing of continuous queries
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Grid-Based Data Stream Processing in e-Science
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
An evaluation of buffer management strategies for relational database systems
VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11
Linear road: a stream data management benchmark
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
The ETH Zurich systems group and enterprise computing center
ACM SIGMOD Record
Stream schema: providing and exploiting static metadata for data stream processing
Proceedings of the 13th International Conference on Extending Database Technology
UpStream: storage-centric load management for streaming applications with update semantics
The VLDB Journal — The International Journal on Very Large Data Bases
Transactional stream processing
Proceedings of the 15th International Conference on Extending Database Technology
Data management in a modern ITS: problems and solutions
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Enhanced stream processing in a DBMS kernel
Proceedings of the 16th International Conference on Extending Database Technology
Research issues in outlier detection for data streams
ACM SIGKDD Explorations Newsletter
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Data Stream Management Systems (DSMS) operate under strict performance requirements. Key to meeting such requirements is to efficiently handle time-critical tasks such as managing internal states of continuous query operators, traffic on the queues between operators, as well as providing storage support for shared computation and archived data. In this paper, we introduce a general purpose storage management framework for DSMSs that performs these tasks based on a clean, loosely-coupled, and flexible system design that also facilitates performance optimization. An important contribution of the framework is that, in analogy to buffer management techniques in relational database systems, it uses information about the access patterns of streaming applications to tune and customize the performance of the storage manager. In the paper, we first analyze typical application requirements at different granularities in order to identify important tunable parameters and their corresponding values. Based on these parameters, we define a general-purpose storage management interface. Using the interface, a developer can use our SMS (Storage Manager for Streams) to generate a customized storage manager for streaming applications. We explore the performance and potential of SMS through a set of experiments using the Linear Road benchmark.