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Robust query processing

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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Extending query languages for in-network query processing

Proceedings of the 10th ACM International Workshop on Data Engineering for Wireless and Mobile Access, 2011
Sensor networks have become ubiquitous and their proliferation in day-to-day life provides new research challenges. Sensors deployed at forest sites, high performance facilities, or areas striken by environmental, or other, phenomena, are only a few representative examples.
George Valkanas   +4 more
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A graph query language and its query processing

Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337), 1999
Many new database applications involve querying of graph data. We present an object-oriented graph data model, and an OQL like graph query language, GOQL. The data model and the language are illustrated in the application domain of multimedia presentation graphs.
Lei Sheng   +2 more
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Parallel query processing

1993
In this chapter, we have examined the various issues and techniques encountered in parallel query processing. The methods used to exploit query parallelism are divided into three categories: namely intra- operator, inter- operator, and inter- query parallelism.
Philip S. Yu   +3 more
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Robust query processing

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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Graph Query Processing

2018
While being eminently useful in a wide variety of application domains, the high expressiveness of graph queries makes them hard to optimize and, hence, challenging to process efficiently. We discuss a number of state-of-the-art approaches which aim to overcome these challenges, focusing specifically on planning, optimization, and execution of two ...
Salihoglu, Semih, Yakovets, N.
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Distributed Query Processing on the Grid

The International Journal of High Performance Computing Applications, 2002
Distributed query processing (DQP) has been widely used in data intensive applications where data of relevance to users are stored at multiple locations. This paper argues: (i) that DQP can be important in the Grid, as a means of providing high-level, declarative languages for integrating data access and analysis; and (ii) that the Grid provides ...
Jim Smith 0001   +5 more
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Abstraction in query processing

Journal of the ACM, 1991
Summary: Possible simplifications in query processing are investigated if, consciously, it is agreed to use query languages of limited power (i.e., weaker and proper sublanguages of first-order language). In such a situation, it is frequently possible to transform data in the database into some other form that is not necessarily logically equivalent to
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Data Stream Query Processing

21st International Conference on Data Engineering (ICDE'05), 2003
This tutorial provides a comprehensive and cohesive overview of the key research results in the area of data stream query processing, both for SQL-like and XML query languages.
Nick Koudas, Divesh Srivastava
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Distributed Processing of Similarity Queries

Distributed and Parallel Databases, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Apostolos Papadopoulos   +1 more
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