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

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書目名稱Database Machines影響因子(影響力)




書目名稱Database Machines影響因子(影響力)學(xué)科排名




書目名稱Database Machines網(wǎng)絡(luò)公開度




書目名稱Database Machines網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database Machines被引頻次




書目名稱Database Machines被引頻次學(xué)科排名




書目名稱Database Machines年度引用




書目名稱Database Machines年度引用學(xué)科排名




書目名稱Database Machines讀者反饋




書目名稱Database Machines讀者反饋學(xué)科排名

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,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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,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

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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

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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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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