Titlebook: Database Machines; Sixth International Haran Boral,Pascal Faudemay Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989 Date

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书目名称Database Machines影响因子(影响力)




书目名称Database Machines影响因子(影响力)学科排名




书目名称Database Machines网络公开度




书目名称Database Machines网络公开度学科排名




书目名称Database Machines被引频次




书目名称Database Machines被引频次学科排名




书目名称Database Machines年度引用




书目名称Database Machines年度引用学科排名




书目名称Database Machines读者反馈




书目名称Database Machines读者反馈学科排名

死猫他烧焦

,Design and implementation of KARDAMOM — A set-oriented data flow database machine,arallel algorithms for relational operations. Other crucial issues in such systems include communication between the software modules of the database management system which are distributed across the processors and efficient control of parallel query execution. In this paper, we argue that strictly

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抒情短诗

,A graph based data structure for efficient implementation of main memory DBMS’s,is organization aims two objectives: be compact and decomposable such as the active database always fits in main memory and speed up extended relational algebra in term of CPU time. Tuples and indices are integrated in a unique data structure called DBGraph. Tuples and values are stored separately a

Explicate

Explicate

Database processing models in parallel processing systems, conflict free data accesses. We propose abstract models as a general framework, and then present two specific parallel processing strategies for two common types of database applications. One is optimal file distribution for partial match queries, and the other is a multidirectory hasing scheme whe

流眼泪

Parallel sorting methods for large data volumes on a hypercube database computer,rs. The methods are based on partitioning of data according to partition values obtained through sampling of the data. One of the algorithms which is implemented at the HC16 database computer designed at The Norwegian Institute of Technology, is described in detail together with a performance evalua

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红肿

A parallel container model for data intensive applications,databases. A parallel model with concurrent containers storing persistent objects of the same type is proposed and discussed. Communication among the containers is through messages, which incorporate object identifiers and function abstractions. Restricting container assignment to particular types o