Demo Data from EDBT 2026 / reviewers in the wild / expert
Voon-Fee Yong
dblp:68/6611
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 81% Distributed systems · 19% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › storage management
storage reclamation |
0.0 | 1 | 1994 | Storage Reclamation and Reorganization in Client-Server Persistent Object Stores · ICDE 1994 |
Storage systems › networked storage
client-server storage |
0.0 | 1 | 1994 | Storage Reclamation and Reorganization in Client-Server Persistent Object Stores · ICDE 1994 |
Distributed systems › transaction processing
transaction semantics |
0.0 | 1 | 1994 | Storage Reclamation and Reorganization in Client-Server Persistent Object Stores · ICDE 1994 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0prototype implementation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Storage Reclamation and Reorganization in Client-Server Persistent Object StoresabstractThe authors develop and evaluate a number of storage reclamation algorithms for client-server persistent object stores. Experience with a detailed simulation and a prototype implementation in the Exodus storage manager shows that one of the proposed algorithms, the Incremental Partitioned Collector, is complete, maintains transaction semantics, and can be run incrementally and concurrently with client applications. Furthermore, it can significantly improve subsequent system performance by reclustering data, rendering it attractive even for systems that choose not to support automatic storage reclamation.> Voon-Fee Yong, Jeffrey F. Naughton, Jie-Bing Yu |
ICDE | 1 |