A Review of Window Query Processing for Data Streams
نویسندگان
چکیده
منابع مشابه
A Review of Window Query Processing for Data Streams
In recent years, progress in hardware technology has resulted in the possibility of monitoring many events in real time. The volume of incoming data may be so large, that monitoring all individual data might be intractable. Revisiting any particular record can also be impossible in this environment. Therefore, many database schemes, such as aggregation, join, frequent pattern mining, and indexi...
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Database management systems (DBMSs) have been used successfully in traditional business applications that require persistent data storage and an efficient querying mechanism. Typically, it is assumed that the data are static, unless explicitly modified or deleted by a user or application. Database queries are executed when issued and their answers reflect the current state of the data. However,...
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Data stream processing is currently gaining importance due to the rapid increase in data volumes and developments in novel application areas like e-science, e-health, and e-business. In this thesis, we propose an architecture for a data stream management system and investigate methods for query processing on data streams in such systems. In contrast to traditional database management systems (D...
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Data streams collected from sensors contain a large volume of useful information including causal relationships. Causality join query processing involves retrieving a set of pairs (cause, effect) from streams of data. However, some causal pairs may be omitted from the query result, due to the delay between sensors and the data stream management system, and the limited size of the sliding window...
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Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process over time. Such continuous collections of data are referred to as data streams. One of the interesting problems in data stream mining is that of predictive query processing. This is useful for a variety of data mining...
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ژورنال
عنوان ژورنال: Journal of Computing Science and Engineering
سال: 2013
ISSN: 1976-4677
DOI: 10.5626/jcse.2013.7.4.220