Demo Data from VLDB 2026 / reviewers in the wild / expert
Khaled Yagoub
dblp:26/3600
· DBLP profile ↗
6ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 6 · 2 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
4 papers |
Query processing and optimization · 57% Database system architecture and tuning · 43% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 44% Cloud and datacenter computing · 44% Memory systems · 13% |
Topics — the 6 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
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 |
Distributed systems
web caching |
0.0 | 1 | 2000 | Caching Strategies for Data-Intensive Web Sites · VLDB 2000 |
Query processing and optimization › query optimization › statistics management
optimizer statistics |
0.0 | 1 | 2008 | Optimizer plan change management: improved stability and performance in Oracle 11g · Proc. VLDB Endow. 2008 |
Query processing and optimization › query optimization
query tuning |
0.0 | 1 | 2004 | Automatic SQL Tuning in Oracle 10g · VLDB 2004 |
Memory systems › cache management › storage caching
caching policy |
0.0 | 1 | 2000 | Caching Strategies for Data-Intensive Web Sites · VLDB 2000 |
Query processing and optimization
query optimization |
0.0 | 1 | 1999 | Optimization of Run-time Management of Data Intensive Web-sites · VLDB 1999 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 | 4 |
| 2008 | Optimizer plan change management: improved stability and performance in Oracle 11gabstractExecution plans for SQL statements have a significant impact on the overall performance of database systems. New optimizer statistics, configuration parameter changes, software upgrades and hardware resource utilization are among a multitude of factors that may cause the query optimizer to generate new plans. While most of these plan changes are beneficial or benign, a few rogue plans can potentially wreak havoc on system performance or availability, affecting critical and time-sensitive business application needs. The normally desirable ability of a query optimizer to adapt to system changes may sometimes cause it to pick a sub-optimal plan compromising the stability of the system. In this paper, we present the new SQL Plan Management feature in Oracle 11g. It provides a comprehensive solution for managing plan changes to provide stable and optimal performance for a set of SQL statements. Two of its most important goals are preventing sub-optimal plans from being executed while allowing new plans to be used if they are verifiably better than previous plans. This feature is tightly integrated with Oracle's query optimizer. SQL Plan Management is available to users via both command-line and graphical interfaces. We describe the feature and then, using an industrial-strength application suite, present experimental results that show that SQL Plan Management provides stable and optimal performance for SQL statements with no performance regressions. Mohamed Ziauddin, Dinesh Das, Hong Su, Yali Zhu, Khaled Yagoub |
Proc. VLDB Endow. | 5 |
| 2004 | Automatic SQL Tuning in Oracle 10g
Benoît Dageville, Dinesh Das, Karl Dias, Khaled Yagoub, Mohamed Zaït, Mohamed Ziauddin |
VLDB | 4 |
| 2000 | Caching Strategies for Data-Intensive Web Sites
Khaled Yagoub, Daniela Florescu, Valérie Issarny, Patrick Valduriez |
VLDB | 1 |
| 2000 | Building and Customizing Data-Intensive Web Sites Using Weave
Khaled Yagoub, Daniela Florescu, Valérie Issarny, Patrick Valduriez |
VLDB | 1 |
| 1999 | Optimization of Run-time Management of Data Intensive Web-sites
Daniela Florescu, Alon Y. Halevy, Dan Suciu, Khaled Yagoub |
VLDB | 4 |