VLDB 2026 Research / reviewers in the wild / expert
Gilles Fecteau
dblp:58/4988
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 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
2 papers |
Database system architecture and tuning · 70% Query processing and optimization · 23% Distributed and cloud data management · 7% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database system architecture and tuning
parallel database system |
0.0 | 2 | 1995 | Managing a DB2 Parallel Edition Database · VLDB 1995 An Overview of DB2 Parallel Edition · SIGMOD Conference 1995 |
Query processing and optimization › query optimization
parallel query optimization |
0.0 | 1 | 1995 | An Overview of DB2 Parallel Edition · SIGMOD Conference 1995 |
Database system architecture and tuning › parallel database system
shared-nothing architecture |
0.0 | 1 | 1995 | An Overview of DB2 Parallel Edition · SIGMOD Conference 1995 |
Distributed and cloud data management
data partitioning |
0.0 | 1 | 1995 | An Overview of DB2 Parallel Edition · SIGMOD Conference 1995 |
Methods — techniques the papers use, named apart from their topics
cost-based optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | An Overview of DB2 Parallel EditionabstractIn 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 Conference | 2 |
| 1995 | Managing a DB2 Parallel Edition Database
Gilles Fecteau |
VLDB | 1 |