Supporting views in data stream management systems
نویسندگان
چکیده
منابع مشابه
Supporting Knowledge Discovery in Data Stream Management Systems
Data mining represents an exciting and vibrant area of research. In particular, on-line mining has gained significant momentum in recent years. The changing data characteristics and real-time response constraints of streaming data preclude the use of existing mining algorithms that were designed for stored datasets. Therefore, researchers are proposing new fast and light algorithms for on-line ...
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In network management systems, a view represents a subset of the management domain tailored to a specific activity or management role. The support for views is extremely relevant in large-scale management systems where it becomes infeasible to centralize all the management information. The paper proposes a model that recognizes the importance and provides support for the coexistence of differen...
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In many application fields, such as production lines or stock analysis, it is substantial to create and process high amounts of data at high rates. Such continuous data flows with unknown size and end are also called data streams. The processing and analysis of data streams are a challenge for common data management systems as they have to operate and deliver results in real time. Data Stream M...
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Many traffic analysis tasks are solved with tools that are developed in an ad-hoc, incremental, and cumbersome way instead of seeking systematic solutions that are easy to reuse and understand. The huge amount of data that has to be managed and analyzed together with the fact that many different analysis tasks are performed over a small set of different network trace formats, motivates us to st...
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The arrival rate of tuples in a data stream can be unpredictable and bursty. Many stream-based applications have Quality of Service (QoS) requirements that need to be satisfied by the underlying stream processing system. In order to avoid violating predefined QoS requirements during temporary overload periods, a load shedding strategy is necessary and critical for a data stream management syste...
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ژورنال
عنوان ژورنال: ACM Transactions on Database Systems
سال: 2010
ISSN: 0362-5915,1557-4644
DOI: 10.1145/1670243.1670244