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Walter G. Wilson

dblp:03/1970 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2005
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 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
1 paper
Database system architecture and tuning · 61% Query processing and optimization · 30% Distributed and cloud data management · 9%
Software engineering, system software, and programming languages
1 paper
Program analysis · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
parallel database system
0.011995
An Overview of DB2 Parallel Edition · SIGMOD Conference 1995
Query processing and optimization › query optimization
parallel query optimization
0.011995
An Overview of DB2 Parallel Edition · SIGMOD Conference 1995
Database system architecture and tuning › parallel database system
shared-nothing architecture
0.011995
An Overview of DB2 Parallel Edition · SIGMOD Conference 1995
Distributed and cloud data management
data partitioning
0.011995
An Overview of DB2 Parallel Edition · SIGMOD Conference 1995
Program analysis
static analysis
0.011983
Semantic Code Analysis · IJCAI 1983

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

cost-based optimization · 0.0semantic analysis · 0.0
YearPublicationVenuePosition
2005 Use of Logic Programming for Complex Business Rules
Walter G. Wilson
ICLP1
1995 An Overview of DB2 Parallel Edition
abstract
In this paper, we describe the architecture and features of DB2 Parallel Edition (PE). DB2 PE belongs to the IBM family of open DB2 client/server database products including DB2/6000, DB2/2, DB2 for HP-UX, and DB2 for the Solaris Operating Environment. DB2 PE employs a shared nothing architecture in which the database system consists of a set of independent logical database nodes. Each logical node represents a collection of system resources including, processes, main memory, disk storage, and communications, managed by an independent database manager. The logical nodes use message passing to exchange data with each other. Tables are partitioned across nodes using a hash partitioning strategy. The cost-based parallel query optimizer takes table partitioning information into account when generating parallel plans for execution by the runtime system. A DB2 PE system can be configured to contain one or more logical nodes per physical processor. For example, the system can be configured to implement one node per processor in a shared-nothing, MPP system or multiple nodes in a symmetric multiprocessor (SMP) system. This paper provides an overview of the storage model, query optimization, runtime system, utilities, and performance of DB2 Parallel Edition.
Chaitanya K. Baru, Gilles Fecteau, Ambuj Goyal, Hui-I Hsiao, Anant Jhingran, Sriram Padmanabhan, Walter G. Wilson
SIGMOD Conference7
1983 Semantic Code Analysis
Walter G. Wilson, Chester C. John
IJCAI1