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Carel A. van den Berg

dblp:27/3347 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 50% Query processing and optimization · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
parallel database system		 0.011992
PRISMA/DB: A Parallel Main Memory Relational DBMS · IEEE Trans. Knowl. Data Eng. 1992
Query processing and optimization
parallel query processing		 0.011992
PRISMA/DB: A Parallel Main Memory Relational DBMS · IEEE Trans. Knowl. Data Eng. 1992

Methods — techniques the papers use, named apart from their topics

performance evaluation · 0.0object-oriented implementation · 0.0
YearPublicationVenuePosition
1994 Analysis of a dynamic query optimization technique for multijoin queries
Carel A. van den Berg, Martin L. Kersten
 J. Syst. Softw.1
1992 PRISMA/DB: A Parallel Main Memory Relational DBMS
abstract
PRISMA/DB, a full-fledged parallel, main memory relational database management system (DBMS) is described. PRISMA/DB's high performance is obtained by the use of parallelism for query processing and main memory storage of the entire database. A flexible architecture for experimenting with functionality and performance is obtained using a modular implementation of the system in an object-oriented programming language. The design and implementation of PRISMA/DB are described in detail. A performance evaluation of the system shows that the system is comparable to other state-of-the-art database machines. The prototype implementation of the system runs on a 100-node parallel multiprocessor.>
Peter M. G. Apers, Carel A. van den Berg, Jan Flokstra, Paul Grefen, Martin L. Kersten, Annita N. Wilschut
 IEEE Trans. Knowl. Data Eng.2