Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Glenn R. Thompson

dblp:52/3685 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
0since 2021 · last 1992
—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
Distributed and cloud data management · 41% Transaction processing and concurrency control · 26% Data stream processing · 21%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data stream processing › fault tolerance
failure recovery
0.011992
Transaction Management Issues in a Failure-Prone Multidatabase System Environment · VLDB J. 1992
Transaction processing and concurrency control › distributed transaction management
multidatabase transaction management
0.011992
Transaction Management Issues in a Failure-Prone Multidatabase System Environment · VLDB J. 1992
Distributed and cloud data management
fault-tolerant transaction processing
0.011990
Reliable Transaction Management in a Multidatabase System · SIGMOD Conference 1990
Distributed and cloud data management
multidatabase systems
0.011990
Reliable Transaction Management in a Multidatabase System · SIGMOD Conference 1990
Distributed systems
fault tolerance
0.021992
Transaction Management Issues in a Failure-Prone Multidatabase System Environment · VLDB J. 1992
Reliable Transaction Management in a Multidatabase System · SIGMOD Conference 1990
Data integration and cleaning
heterogeneous data integration
0.011986
Database Integration in a Distributed Heterogeneous Database System · ICDE 1986
Distributed and cloud data management › distributed database architecture
heterogeneous distributed databases
0.011986
Database Integration in a Distributed Heterogeneous Database System · ICDE 1986
Transaction processing and concurrency control › concurrency control › locking protocols
two-phase locking
0.011990
Reliable Transaction Management in a Multidatabase System · SIGMOD Conference 1990
Data models and query languages › relational model
extended relational model
0.011986
Database Integration in a Distributed Heterogeneous Database System · ICDE 1986

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

query conversion · 0.0
YearPublicationVenuePosition
1992 Transaction Management Issues in a Failure-Prone Multidatabase System Environment
Yuri Breitbart, Avi Silberschatz, Glenn R. Thompson
VLDB J.3
1990 Reliable Transaction Management in a Multidatabase System
abstract
A model of a multidatabase system is defined in which each local DBMS uses the two-phase locking protocol Locks are released by a global transaction only after the transaction commits or aborts at each local site. Failures may occur during the processing of transactions. We design a fault tolerant transaction management algorithm and recovery procedures that retain global database consistency. We also show that our algorithms ensure freedom from global deadlocks of any kind.
Yuri Breitbart, Avi Silberschatz, Glenn R. Thompson
SIGMOD Conference3
1986 Database Integration in a Distributed Heterogeneous Database System
abstract
This paper describes the approach to database integration in a heterogeneous distributed database environment utilized by the Amoco Distributed Database System (ADDS). We start with the definition of the extended relational data model that is used by ADDS for database integration. We demonstrate various aspects of resolving possible data conflicts occurring in the database integration process. The ADDS query and data definition languages are defined and their expressive power is discussed. We conclude with presentation of a query conversion algorithm to convert a user data request into a set of queries against supported physical databases.
Yuri Breitbart, Peter L. Olson, Glenn R. Thompson
ICDE3