منابع مشابه
Multiple Continuous Queries Evaluation over Data Streams
Query processing for data streams should be continuous and rapid, which requires strict time constraint. In most previous researches, in order to guarantee this constraint, the evaluation order of join predicates in a continuous query is optimized by a greedy. However, the greedy strategy traces only the first promising plan, so that it often finds a sub-optimal plan. This paper proposes an imp...
متن کاملTransformation of Continuous Aggregation Join Queries over Data Streams
We address continuously processing an aggregation join query over data streams. Queries of this type involve both join and aggregation operations, with windows specified on join input streams. To our knowledge, the existing researches address join query optimization and aggregation query optimization as separate problems. Our observation, however, is that by putting them within the same scope o...
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...
متن کاملQueueing Analysis of SPJ Queries over Continuous Data Streams
Currently, considerable body of work exists on stream data processing. Research on data streams varies from algorithms for computing various operators on streams to the design of architectures and implementation of systems for large scale stream processing. Most of the work has focused on the use of queues with traditional query processing operators to handle unpredictable, real-time processing...
متن کاملContinuous Queries over Data Streams - Semantics and Implementation
Recent technological advances have pushed the emergence of a new class of data-intensive applications that require continuous processing over sequences of transient data, called data streams, in near real-time. Examples of such applications range from business activity monitoring and online analysis of sensor data to trend detection in stock ticker data. This work presents a solid and powerful ...
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ژورنال
عنوان ژورنال: ACM SIGMOD Record
سال: 2001
ISSN: 0163-5808
DOI: 10.1145/603867.603884