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Graham Wood

dblp:54/4636 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Databases, data management, data science and information retrieval · 2

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 · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
database engine testing
0.112008
Oracle database replay · SIGMOD Conference 2008
Database system architecture and tuning
workload replay
0.112008
Oracle database replay · SIGMOD Conference 2008
Performance modeling and evaluation
benchmarking
0.012008
Oracle database replay · SIGMOD Conference 2008

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

workload capture and replay · 0.2
YearPublicationVenuePosition
2008 Oracle database replay
abstract
This paper presents Oracle Database Replay, a novel approach to testing changes to the relational database management system component of an information system (software upgrades, hardware changes etc). Database Replay makes it possible to subject a test system to a real production system workload, which helps identify all potential problems before implementing the planned changes on the production system. Any interesting workload period of a production database system can be captured with minimal overhead. The captured workload can be used to drive a test system while maintaining the concurrency and load characteristics of the real production workload. Therefore, the test results using database replay can provide very high assurance in determining the impact of changes to a production system before applying these changes. This paper presents the architecture of Database Replay as well as experimental results that demonstrate its usefulness as testing methodology.
Leonidas Galanis, Supiti Buranawatanachoke, Romain Colle, Benoît Dageville, Karl Dias, Jonathan Klein, Stratos Papadomanolakis, Leng Leng Tan, Venkateshwaran Venkataramani, Graham Wood
SIGMOD Conference11
2005 Automatic Performance Diagnosis and Tuning in Oracle
Karl Dias, Mark Ramacher, Uri Shaft, Venkateshwaran Venkataramani, Graham Wood
CIDR5