18 results with keyword: 'window queries over data streams'
For example, the input stream may be split and processed through different sub-queries (such as might be needed for network-protocol simulation), and the
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Upon receiving a negative tuple, instead of re-performing the join operation, the time- message optimization performs the following steps: (1) Removes the corresponding positive
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I study the effects of varying aggressiveness in prodding (i.e. how early a system asks a window for results) on the overall result latency gains and result accuracy, using input
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We test a possible implementation of these algorithms and show that, as expected, hash joins are faster than NLJs for performing equi-joins, and that the overall processing cost
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In such a system, traditional one-time queries are replaced or augmented with continuous queries, and techniques such as synopsis and online data structures, approximate re- sults,
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In effect, the window at the top of the join order always consists of only one tuple and the join order changes in response to the origin of the incoming tuple (Table 4). This
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The Novel feedback control-based load shedding scheme for data stream processing is to identify system identification to establish a dynamic model to describe a
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(In fact, this assumption is unnecessary, as we will explain in Section 3.2.1.) Then our task is re- duced to solving the following problem: Given a data flow diagram along with a
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Since queries expressed in our query language are translated into a query plan composed of operators from our stream algebra, the se- mantics of a query results from the semantics
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Software to process queries Software to access streams and data Data streams Meta – data DSMS Continuous queries (CQs) Data streams Stored Data... The LOFAR Instrument
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Unless otherwise stipulated and subject to all terms indicated in the following paragraph, all applicable prices at the time of the order are the prices to be charged at the time
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Supply Balances Demand Supply Orders Inventory Forecast Capacity Balanced Demand Supply Inventory Orders Capacity Forecast. Strong Demand-
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Muntz, Moment: Maintaining closed frequent itemsets over a stream sliding window, in: Int’l Conference on Data Mining, November 2004.
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5 Maps illustrating the proportional area of each 6 km × 6 km grid cell that is covered by ( a ) fire perimeters within the Inland Pacific Northwest from 1984 to 2014
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Through these experiments we compare the performance of the R 2 T S algorithm implemen- tations over the simple candidates (Simple), the lazy ordering (LazyOrder) and the
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Although the results of nested CEP queries obtained from the it- erative execution strategy are correct, it produces results at a very slow rate which is attributed to
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With the proposed approach, a sliding-window query can be implemented on an FPGA as an order-agnostic operator, which can process input tuples in their arrival order without
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