EDBT 2026 Demo / reviewers in the wild / expert
Karl Dias
dblp:52/6497
· DBLP profile ↗
6ranked-venue papers
1as 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 · 6 · 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
5 papers |
Database system architecture and tuning · 70% Query processing and optimization · 24% Transaction processing and concurrency control · 6% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 9 heaviest of 11, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database system architecture and tuning
workload replay |
0.2 | 2 | 2011 | Consistent Synchronization Schemes for Workload Replay · Proc. VLDB Endow. 2011 Oracle database replay · SIGMOD Conference 2008 |
Database system architecture and tuning › database tuning
automatic database tuning |
0.1 | 1 | 2009 | Self-Tuning for SQL Performance in Oracle Database 11g · ICDE 2009 |
Database system architecture and tuning
database engine testing |
0.1 | 1 | 2008 | Oracle database replay · SIGMOD Conference 2008 |
Transaction processing and concurrency control
synchronization |
0.0 | 1 | 2011 | Consistent Synchronization Schemes for Workload Replay · Proc. VLDB Endow. 2011 |
Performance modeling and evaluation
benchmarking |
0.0 | 1 | 2008 | Oracle database replay · SIGMOD Conference 2008 |
Query processing and optimization
materialized view |
0.0 | 1 | 1998 | Materialized Views in Oracle · VLDB 1998 |
Query processing and optimization
view maintenance |
0.0 | 1 | 1998 | Materialized Views in Oracle · VLDB 1998 |
Query processing and optimization › query optimization
query tuning |
0.0 | 1 | 2004 | Automatic SQL Tuning in Oracle 10g · VLDB 2004 |
Database system architecture and tuning
commercial database systems |
0.0 | 1 | 1998 | Materialized Views in Oracle · VLDB 1998 |
Methods — techniques the papers use, named apart from their topics
workload capture and replay · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Consistent Synchronization Schemes for Workload Replay
Konstantinos Morfonios, Romain Colle, Leonidas Galanis, Supiti Buranawatanachoke, Benoît Dageville, Karl Dias |
Proc. VLDB Endow. | 6 |
| 2009 | Self-Tuning for SQL Performance in Oracle Database 11gabstractCommercial database customers across the board list SQL performance tuning as one of the most time-consuming tasks for database administrators (DBAs). The 10g Oracle Database provides a feature called the SQL Tuning Advisor to simplify the task. The 11g release adds a new database feature, called Automatic SQL Tuning, that closes the feedback loop for the first time, fully automating the SQL tuning workflow and solving some SQL performance problems without any DBA intervention. Peter Belknap, Benoît Dageville, Karl Dias, Khaled Yagoub |
ICDE | 3 |
| 2008 | Oracle database replayabstractThis 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 Conference | 5 |
| 2005 | Automatic Performance Diagnosis and Tuning in Oracle
Karl Dias, Mark Ramacher, Uri Shaft, Venkateshwaran Venkataramani, Graham Wood |
CIDR | 1 |
| 2004 | Automatic SQL Tuning in Oracle 10g
Benoît Dageville, Dinesh Das, Karl Dias, Khaled Yagoub, Mohamed Zaït, Mohamed Ziauddin |
VLDB | 3 |
| 1998 | Materialized Views in Oracle
Randall G. Bello, Karl Dias, Alan Downing, James J. Feenan Jr., James L. Finnerty, William D. Norcott, Harry Sun, Andrew Witkowski, Mohamed Ziauddin |
VLDB | 2 |