The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Composite Events for Active Databases: Semantics, Contexts and Detection
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Forwarding in a content-based network
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Events in an Active Object-Oriented Database System
Events in an Active Object-Oriented Database System
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ICDE '04 Proceedings of the 20th International Conference on Data Engineering
The VLDB Journal — The International Journal on Very Large Data Bases
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PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Loadstar: load shedding in data stream mining
VLDB '05 Proceedings of the 31st international conference on Very large data bases
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The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Window-aware load shedding for aggregation queries over data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Cayuga: a high-performance event processing engine
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Memory-limited execution of windowed stream joins
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Remembrance of streams past: overload-sensitive management of archived streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Efficient pattern matching over event streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A framework for event composition in distributed systems
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
On Supporting Kleene Closure over Event Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Distributed complex event processing with query rewriting
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
RACED: an adaptive middleware for complex event detection
Proceedings of the 8th International Workshop on Adaptive and Reflective MIddleware
SAGE: A Logical Agent-Based Environment Monitoring and Control System
AmI '09 Proceedings of the European Conference on Ambient Intelligence
Continuous analytics over discontinuous streams
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
TESLA: a formally defined event specification language
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
A rule-based language for complex event processing and reasoning
RR'10 Proceedings of the Fourth international conference on Web reasoning and rule systems
Event Processing in Action
Pattern rewriting framework for event processing optimization
Proceedings of the 5th ACM international conference on Distributed event-based system
Low latency complex event processing on parallel hardware
Journal of Parallel and Distributed Computing
Towards expressive publish/subscribe systems
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Processing flows of information: From data stream to complex event processing
ACM Computing Surveys (CSUR)
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Several application domains involve detecting complex situations and reacting to them. This asks for a Complex Event Processing (CEP) middleware specifically designed to timely process large amounts of event notifications as they flow from the peripheral to the center of the system, to identify the composite events relevant for the application. To answer this need we designed T-Rex, a new CEP middleware that combines expressiveness and efficiency. On the one hand, it adopts a language (TESLA) explicitly conceived to easily and naturally describe composite events. On the other hand, it provides an efficient event detection algorithm based on automata to interpret TESLA rules. Our evaluation shows that the T-Rex engine can process a large number of complex rules with a reduced overhead, even in the presence of challenging workloads.