Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
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
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Self-Similar Algorithms for Dynamic Distributed Systems
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Feedback Systems: An Introduction for Scientists and Engineers
Feedback Systems: An Introduction for Scientists and Engineers
Event-driven architecture based on patterns for detecting complex attacks
International Journal of Critical Computer-Based Systems
GRUVe: a methodology for complex event pattern life cycle management
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Hybrid programming abstraction for e-science workflows and event processing
Proceedings of the 5th ACM international conference on Distributed event-based system
Representing events in a clinical environment a case study
Proceedings of the 5th ACM international conference on Distributed event-based system
Analysis and optimization for boolean expression indexing
ACM Transactions on Database Systems (TODS)
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
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Event-driven systems are used in a wide range of applications such as responding to missile attacks, interdicting potential terrorists, exploiting arbitrage opportunities and responding to congestion in supply chains. The designs of event-driven systems vary widely because the costs and benefits to users of different applications are markedly different. This talk proposes a framework for unifying designs of different types of applications by representing the design problem as a constrained optimization and by defining interaction between components in distributed event-based systems in terms of a concept called "shared models." This talk is intended to suggest that there are concepts that unify analyses of a range of event-driven systems in nature, human social organizations and information technology systems.