Titlebook: Directions in Databases; 12th British Nationa David S. Bowers Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 Benchmarki

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Object comprehensions: A query notation for object-oriented databases,a predicate-based optimisable sub-language providing support for the class hierarchy; numerical quantifiers for dealing with occurrences of collection elements; operations addressing collection elements by position and order; a high-level support for interaction between different collection kinds; and recursive queries with computation.

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Benchmarking parallel SQL database machines,on a large commercial database the benchmark system includes the specification of the test or “mimic” database and sets of transactions and queries, and the data/transaction generation tools. The benchmark uses synthetic data which closely resembles real world data and provides for evaluation of the scalability of system under test.

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Conference proceedings 1994re organized in chapters on temporal databases, formal approaches, parallel databases, object-oriented databases, and distributed databases. In addition there are two invited presentations: "Managing open systems now that the "Glashouse" has gone" by R. Baker and "Knowledge reuse through networks of large KBs" by P.M.D. Gray.

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A conceptual language for querying object oriented data,per demonstrates that with only modest extensions, such a schema definition language may serve as a query notation. These extensions are concerned solely with supporting the interactive nature of . querying, providing facilities for naming and displaying query operations and their results.

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https://doi.org/10.1007/978-3-319-97232-9on a large commercial database the benchmark system includes the specification of the test or “mimic” database and sets of transactions and queries, and the data/transaction generation tools. The benchmark uses synthetic data which closely resembles real world data and provides for evaluation of the scalability of system under test.

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Stabilization and Privatization in Polandids unnecessary transaction blockings and restarts by executing alternative paths of transactions in parallel. Our approach uses additional hardware resources, mainly CPU — which would otherwise sit idle due to data contention — to improve transaction response time and throughput.