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Wouter B. Teeuw

dblp:33/2694 · DBLP profile ↗
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5ranked-venue papers
4as first author
0since 2021 · last 2012
0000-0002-1909-9763ORCID · verified

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

Artificial intelligence and machine learning · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-author

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
2 papers
Indexing and storage engines · 67% Query processing and optimization · 33%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Performance modeling and evaluation · 67% Parallel and multicore computing · 33%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Indexing and storage engines › storage model
complex object storage
0.011993
An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993
Query processing and optimization
parallel query processing
0.011993
Control Versus Data Flow in Parallel Database Machines · IEEE Trans. Parallel Distributed Syst. 1993
Indexing and storage engines › storage management
storage structures
0.011993
An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993
Performance modeling and evaluation
benchmarking
0.011993
An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993
Parallel and multicore computing › parallel query processing
parallel database machine
0.011993
Control Versus Data Flow in Parallel Database Machines · IEEE Trans. Parallel Distributed Syst. 1993
Performance modeling and evaluation › benchmarking
storage benchmarking
0.011993
An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993

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

cost model · 0.0benchmark · 0.0analytical modeling · 0.0
YearPublicationVenuePosition
2012 Persona-Based Adaptation in a Smart Green Home
abstract
In this paper we present the vision of the Go Green project on a smart home that is capable of decreasing energy consumption while at the same time increasing user comfort. To identify the main challenges we introduce a general model for intelligent homes that describes the current state, the target state and the transition. A key point in the project's vision is the concept of personas and entities to model groups of individuals and their preferences. A second key point is the strategy of coaching the users towards the global system goals by adapting the environment.
Etto L. Salomons, Wouter B. Teeuw, Henk van Leeuwen, Paul J. M. Havinga
Intelligent Environments2
1993 An Evaluation of Physical Disk I/Os for Complex Object Processing
abstract
In order to obtain the performance required for nonstandard database environments, a hierarchical complex object model with object references is used as a storage structure for complex objects. Several storage models for these complex objects, as well as a benchmark to evaluate their performance, are described. A cost model for analytical performance evaluation is developed, and the analytical results are validated by means of measurements on the DASDBS, complex object storage system. The results show which storage structures for complex objects are the most efficient under which circumstances.>
Wouter B. Teeuw, Christian Rich, Marc H. Scholl, Henk M. Blanken
ICDE1
1993 Control Versus Data Flow in Parallel Database Machines
abstract
The execution of a query in a parallel database machine can be controlled in either a control flow way, or in a data flow way. In the former case a single system node controls the entire query execution. In the latter case the processes that execute the query, although possibly running on different nodes of the system, trigger each other. Lately, many database research projects focus on data flow control since it should enhance response times and throughput. The authors study control versus data flow with regard to controlling the execution of database queries. An analytical model is used to compare control and data flow in order to gain insights into the question which mechanism is better under which circumstances. Also, some systems using data flow techniques are described, and the authors investigate to which degree they are really data flow. The results show that for particular types of queries data flow is very attractive, since it reduces the number of control messages and balances these messages over the nodes.>
Wouter B. Teeuw, Henk M. Blanken
IEEE Trans. Parallel Distributed Syst.1
1992 Joining distributed complex objects: Definition and performance
Wouter B. Teeuw, Henk M. Blanken
Data Knowl. Eng.1
1990 An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross
Wouter B. Teeuw, Robert P. W. Duin
Pattern Recognit. Lett.1