Demo Data from VLDB 2026 / reviewers in the wild / expert
Jeffrey X. W. Su
dblp:09/1328
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Databases, 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.
| Databases, data mining, and information retrieval
2 papers |
Query processing and optimization · 70% Indexing and storage engines · 23% Database theory · 7% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 87% Interconnection networks and networks-on-chip · 13% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Indexing and storage engines
access methods |
0.0 | 1 | 1993 | Efficient Evaluation of Traversal Recursive Queries Using Connectivity Index · ICDE 1993 |
Query processing and optimization › join processing
distributed join |
0.0 | 1 | 1993 | Dynamic Load Balancing in Very Large Shared-Nothing Hypercube Database Computers · IEEE Trans. Computers 1993 |
Query processing and optimization
join processing |
0.0 | 1 | 1993 | Dynamic Load Balancing in Very Large Shared-Nothing Hypercube Database Computers · IEEE Trans. Computers 1993 |
Query processing and optimization › recursive query
recursive query evaluation |
0.0 | 1 | 1993 | Efficient Evaluation of Traversal Recursive Queries Using Connectivity Index · ICDE 1993 |
Parallel and multicore computing › load balancing
dynamic load balancing |
0.0 | 1 | 1993 | Dynamic Load Balancing in Very Large Shared-Nothing Hypercube Database Computers · IEEE Trans. Computers 1993 |
Parallel and multicore computing
load balancing |
0.0 | 1 | 1993 | Dynamic Load Balancing in Very Large Shared-Nothing Hypercube Database Computers · IEEE Trans. Computers 1993 |
Database theory › deductive database
recursive query semantics |
0.0 | 1 | 1993 | Efficient Evaluation of Traversal Recursive Queries Using Connectivity Index · ICDE 1993 |
Interconnection networks and networks-on-chip
hypercube network |
0.0 | 1 | 1993 | Dynamic Load Balancing in Very Large Shared-Nothing Hypercube Database Computers · IEEE Trans. Computers 1993 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0bucket-based join · 0.0broadcast-based join · 0.0single-pass index scan · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Efficient Evaluation of Traversal Recursive Queries Using Connectivity IndexabstractIntroduces the connectivity index, an access structure for the efficient evaluation of traversal-recursive queries. Unlike conventional bottom-up evaluation techniques that require the creation of temporary files and scanning of the relations many times in computing the relational operators, the new access strategy requires only a single-pass scan of the index file. The proposed scheme is illustrated using examples. Algorithms for the maintenance of the index structure are presented.> Kien A. Hua, Jeffrey X. W. Su, Chau M. Hua |
ICDE | 2 |
| 1993 | Dynamic Load Balancing in Very Large Shared-Nothing Hypercube Database ComputersabstractTwo relational join strategies, broadcast-based join and bucket-based join, have been recently proposed for the hypercube interconnection topology. The first strategy, however, incurs many unnecessary comparisons of pairs of tuples of the two relations. Although the second technique compares only tuples of the relevant buckets, it may suffer from potential load imbalance, which is most critical to the performance of a shared-nothing system. To address these issues, a join algorithm for hypercube computers which includes dynamic load balancing capabilities to minimize the effect of skewness in tuple distribution is proposed. Simulation results indicate that the scheme provides significant improvement over the bucket-based join strategy. In fact, the technique is consistently superior even when the skew condition is very mild.> Kien A. Hua, Jeffrey X. W. Su |
IEEE Trans. Computers | 2 |