EDBT 2026 Demo / reviewers in the wild / expert
Cecil T. Hua
dblp:70/3270
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1983
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorComputer networks · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1
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 |
Transaction processing and concurrency control · 100% | |
| Theoretical computer science
1 paper |
Distributed computing theory · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transaction processing and concurrency control › concurrency control
distributed concurrency control |
0.0 | 1 | 1983 | A Causal Model for Analyzing Distributed Concurrency Control Algorithms · IEEE Trans. Software Eng. 1983 |
Transaction processing and concurrency control
serializability |
0.0 | 1 | 1983 | A Causal Model for Analyzing Distributed Concurrency Control Algorithms · IEEE Trans. Software Eng. 1983 |
Distributed systems › distributed coordination
event ordering |
0.0 | 1 | 1983 | Analysis of the Majority Consensus Concurrency Control Algorithm for Correctness and Performance Using the Event Ordering Approach · INFOCOM 1983 |
Methods — techniques the papers use, named apart from their topics
performance analysis · 0.0event ordering approach · 0.0history-based correctness analysis · 0.0event order model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1983 | Analysis of the Majority Consensus Concurrency Control Algorithm for Correctness and Performance Using the Event Ordering Approach
Cecil T. Hua, Bharat K. Bhargava |
INFOCOM | 1 |
| 1983 | A Causal Model for Analyzing Distributed Concurrency Control AlgorithmsabstractAn event order based model for specifying and analyzing concurrency control algorithms for distributed database systems has been presented. An expanded notion of history that includes the database access events as well as synchronization events is used to study the correctness, degree of concurrency, and other aspects of the algorithms such as deadlocks and reliability. The algorithms are mapped into serializable classes that have been defined based on the order of synchronization events such as lock points, commit point, arrival of a transaction, etc,. Bharat K. Bhargava, Cecil T. Hua |
IEEE Trans. Software Eng. | 2 |
| 1982 | Classes of Serializable Histories and Synchronization Algorithms in Distributed Database Systems
Cecil T. Hua, Bharat K. Bhargava |
ICDCS | 1 |