Demo Data from EDBT 2026 / reviewers in the wild / expert
Seng-lai Heng
dblp:24/554
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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.
| Software engineering, system software, and programming languages
1 paper |
Runtime systems and virtual machines · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Runtime systems and virtual machines › garbage collection
distributed garbage collection |
0.0 | 1 | 1991 | A Parallel Asynchronous Garbage Collection Algorithm for Distributed Systems · IEEE Trans. Knowl. Data Eng. 1991 |
Runtime systems and virtual machines
garbage collection |
0.0 | 1 | 1991 | A Parallel Asynchronous Garbage Collection Algorithm for Distributed Systems · IEEE Trans. Knowl. Data Eng. 1991 |
Distributed systems
distributed algorithms |
0.0 | 1 | 1991 | A Parallel Asynchronous Garbage Collection Algorithm for Distributed Systems · IEEE Trans. Knowl. Data Eng. 1991 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | A Parallel Asynchronous Garbage Collection Algorithm for Distributed SystemsabstractThe problem of distributed garbage collection is discussed. An algorithm for parallel distributed asynchronous garbage collection is presented. The liveness and safety properties of this method are demonstrated. The algorithm does not require a global clock, complex termination detection methods, or distributed synchronization techniques. A new color code is introduced to distinguish between local cells (black) and those that are exclusively accessible from the remote pointers (gray). The mutator operation is revised to handle a multiple mutator scheme on a given local memory. Simulation results show that the developed distributed and parallel algorithm performs much better than the sequential method as tested on a Balance 8000 computer.> Nader Bagherzadeh, Seng-lai Heng, Chuan-lin Wu |
IEEE Trans. Knowl. Data Eng. | 2 |