This framework demonstrates reduced latency for event-driven applications using a complex event processing engine, suggesting improved responses in IoT systems.
Key Points
The aim is to bridge the gap between IoT data and high-level business logic for better decision-making.
Introduced a synergistic engine paradigm for decision-making
Leveraged a complex event processing engine for abstraction and execution
Utilized a multi-level abstraction framework to translate process constraints into queries
Conducted a proof-of-concept and quantitative evaluation
Achieved sub-millisecond latency at high data rates
Supported processing of up to 10,000 events per second
Demonstrated improved responsiveness in applications