Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
Matching events in a content-based subscription system
Proceedings of the eighteenth annual ACM symposium on Principles of distributed computing
Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
SEDA: an architecture for well-conditioned, scalable internet services
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
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
Continual Queries for Internet Scale Event-Driven Information Delivery
IEEE Transactions on Knowledge and Data Engineering
Composite Event Specification in Active Databases: Model & Implementation
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Composite Events for Active Databases: Semantics, Contexts and Detection
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
On the Semantics of Complex Events in Active Database Management Systems
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
The VLDB Journal — The International Journal on Very Large Data Bases
A Semantic Publish/Subscribe System
CEC-EAST '04 Proceedings of the E-Commerce Technology for Dynamic E-Business, IEEE International Conference
QPipe: a simultaneously pipelined relational query engine
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Java Concurrency in Practice
Model-Driven Business Performance Management
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Compiled Query Execution Engine using JVM
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
High-performance complex event processing over streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Model driven development for business performance management
IBM Systems Journal - Model-driven software development
Dynamic Evolution of Business Performance Management
ICEBE '06 Proceedings of the IEEE International Conference on e-Business Engineering
Beyond average: toward sophisticated sensing with queries
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Towards expressive publish/subscribe systems
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Monitoring the QoS for Web Services
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
Event-Driven Quality of Service Prediction
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
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Business event processing requires efficiently processing live events, computing business performance metrics, detecting business situations, and providing real-time visibility of key performance indicators. Given the high volume of events and significant complexity of computation, system performance--event throughput--is critical. In this paper, we advocate model-analysis techniques to improve event throughput. In the build time, a series of model analyses of the application logic are conducted to understand such factors as runtime data-access path, data flow, and control flow. Such analyses can be used to improve throughput three ways: at build time it can be used to facilitate the generation of customized code to optimize I/O and CPU usage; information about the control flow and data flow can be used to ensure that CPU resources are used effectively by distributing event-processing computation logic evenly over time; and at runtime, knowledge gained from the model can be used to plan multithreaded parallel event-processing execution to reduce wait states by maximizing parallelization and reducing the planning overhead. This paper presents a series of model-analysis techniques and the results of experiments that demonstrate their effectiveness.