A system for semantic data fusion in sensor networks
Proceedings of the 2007 inaugural international conference on Distributed event-based systems
A framework for performance evaluation of complex event processing systems
Proceedings of the second international conference on Distributed event-based systems
Event-based applications and enabling technologies
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
An integrated data management approach to manage health care data
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
A Performance Study of Event Processing Systems
Performance Evaluation and Benchmarking
GINSENG for sustainable energy awareness: flexible energy monitoring using wireless sensor nodes
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Industry experience with the IBM Active Middleware Technology (AMiT) Complex Event Processing engine
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Experiences with codifying event processing function patterns
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Event Processing in Action
Multilevel event-based monitoring framework for the petals enterprise service bus: industry article
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Proceedings of the Industrial Track of the 13th ACM/IFIP/USENIX International Middleware Conference
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In this report, we share our experience in developing a complex event processing architecture that bridges sensors networks to an energy management system used in the context of chain convenient stores. We analyze event data in real-time to generate immediate and predictive appliance/operation insights and enable instant response defined by simple business rules. For intuitive rule management, preprocessed events should be used in many cases instead of raw events collected from sensor network. We illustrate practical energy and operation management rules based on preprocessed events such as forecasted and classified events in addition to raw events.