Results 281 to 290 of about 476,420 (328)
Some of the next articles are maybe not open access.
2009
Data Streams are infinite in nature. As a result, a query that executes over data streams specifies a ‘‘window’’ of focus or the part of the data stream that is of interest to the query. When new data items arrive into the data stream, the window may either expand or slide to allow the query to process these new data items.
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Data Streams are infinite in nature. As a result, a query that executes over data streams specifies a ‘‘window’’ of focus or the part of the data stream that is of interest to the query. When new data items arrive into the data stream, the window may either expand or slide to allow the query to process these new data items.
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2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW), 2016
Robust query processing, a long-standing problem, is about performance, predictability and ability to avoid sudden disruptions in performance. While query optimizer being an important component of query processing, my thesis focuses on query optimizer robustness which is mainly plagued with the problem of cardinality mis-estimates. Moreover, it is well
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Robust query processing, a long-standing problem, is about performance, predictability and ability to avoid sudden disruptions in performance. While query optimizer being an important component of query processing, my thesis focuses on query optimizer robustness which is mainly plagued with the problem of cardinality mis-estimates. Moreover, it is well
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2011 IEEE 27th International Conference on Data Engineering, 2011
In the context of data management, robustness is usually associated with resilience against failure, recovery, redundancy, disaster preparedness, etc. Robust query processing, on the other hand, is about robustness of performance and of scalability. It is more than progress reporting or predictability.
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In the context of data management, robustness is usually associated with resilience against failure, recovery, redundancy, disaster preparedness, etc. Robust query processing, on the other hand, is about robustness of performance and of scalability. It is more than progress reporting or predictability.
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2011
We first present our LUPOSDATE system, including its indexing methods for data management and query engines for query evaluation. Afterward, we describe the different phases of query processing performed by these query engines on a high-level basis. In this chapter, we describe the phase of eliminating redundant language constructs of SPARQL queries in
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We first present our LUPOSDATE system, including its indexing methods for data management and query engines for query evaluation. Afterward, we describe the different phases of query processing performed by these query engines on a high-level basis. In this chapter, we describe the phase of eliminating redundant language constructs of SPARQL queries in
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Proceedings of the International Conference on Computer Applications — Database Systems, 2010
Vandana Jindal, Anil Kumar Verma
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Vandana Jindal, Anil Kumar Verma
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Process Instance Query Language and the Process Querying Framework
2021Jose Miguel Pérez Álvarez +4 more
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