Massive scale-out of expensive continuous queries
نویسندگان
چکیده
منابع مشابه
Massive Scale-out of Expensive Continuous Queries
Scalable execution of expensive continuous queries over massive data streams requires input streams to be split into parallel substreams. The query operators are continuously executed in parallel over these sub-streams. Stream splitting involves both partitioning and replication of incoming tuples, depending on how the continuous query is parallelized. We provide a stream splitting operator tha...
متن کاملScalable Parallelization of Expensive Continuous Queries over Massive Data Streams
Zeitler, E. 2011. Scalable Parallelization of Expensive Continuous Queries over Massive Data Streams. Acta Universitatis Upsaliensis. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 836. 35 pp. Uppsala. ISBN 978-91-554-8095-0. Numerous applications in for example science, engineering, and financial analysis increasingly require online analysis...
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Pattern queries are widely used in complex event processing (CEP) systems. Existing pattern matching techniques, however, can provide only limited performance for expensive queries in real-world applications, which may involve Kleene closure patterns, flexible event selection strategies, and events with imprecise timestamps. To support these expensive queries with high performance, we begin our...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2011
ISSN: 2150-8097
DOI: 10.14778/3402707.3402752