High-Performance Nested CEP Query Processing Over Event Streams

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Format: PDF
Complex Event Processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit complex queries to track sequences of events that match a given pattern. As these systems mature the need for increasingly complex nested sequence query support arises, while the state-of-art CEP systems mostly support the execution of flat sequence queries only. To assure real-time responsiveness and scalability for pattern detection even on huge volume high-speed streams, efficient processing techniques must be designed. In this paper, the authors first analyze the prevailing nested pattern query processing strategy and identify several serious shortcomings.
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