Supiti Buranawatanachoke

dblp:68/5515 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Databases, data management, data science and information retrieval · 3

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
3 papers
Database system architecture and tuning · 91% Transaction processing and concurrency control · 9%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
workload replay
0.222011
Consistent Synchronization Schemes for Workload Replay · Proc. VLDB Endow. 2011
Oracle database replay · SIGMOD Conference 2008
Database system architecture and tuning
database engine testing
0.222009
Oracle Database Replay · Proc. VLDB Endow. 2009
Oracle database replay · SIGMOD Conference 2008
Transaction processing and concurrency control
synchronization
0.012011
Consistent Synchronization Schemes for Workload Replay · Proc. VLDB Endow. 2011
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
2011 Consistent Synchronization Schemes for Workload Replay
Konstantinos Morfonios, Romain Colle, Leonidas Galanis, Supiti Buranawatanachoke, Benoît Dageville, Karl Dias
Proc. VLDB Endow.4
2009 Oracle Database Replay
abstract
This demonstration 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 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 is used to drive a test system while maintaining the concurrency and load characteristics of the real production workload. The demonstration showcases how important maintaining the concurrency and load characteristics of the real workload is. The current testing solutions do not allow for synchronization based on data dependencies. Without proper synchronization the demonstration workload does not perform the work required and does not exercise the test system appropriately, leading to poor coverage and inadequate load. Thus many issues remain undetected. Database replay with its data based synchronization makes testing realistic and leads to the discovery of potential problems.
Romain Colle, Leonidas Galanis, Supiti Buranawatanachoke, Stratos Papadomanolakis
Proc. VLDB Endow.4
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 Conference2