EDBT 2026 Demo / reviewers in the wild / expert
Hua-Chun Lin
dblp:84/3806
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1984
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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 networks
1 paper |
Network performance modeling · 50% Network optimization and economics · 25% Routing and switching · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Routing and switching › load sharing
dynamic load balancing |
0.0 | 1 | 1984 | Adaptive Load Balancing for Parallel Queues with Traffic Constraints · IEEE Trans. Commun. 1984 |
Network performance modeling › queueing network model
parallel queues |
0.0 | 1 | 1984 | Adaptive Load Balancing for Parallel Queues with Traffic Constraints · IEEE Trans. Commun. 1984 |
Network performance modeling
queueing analysis |
0.0 | 1 | 1984 | Adaptive Load Balancing for Parallel Queues with Traffic Constraints · IEEE Trans. Commun. 1984 |
Network optimization and economics
resource allocation |
0.0 | 1 | 1984 | Adaptive Load Balancing for Parallel Queues with Traffic Constraints · IEEE Trans. Commun. 1984 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0queueing analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1984 | Adaptive Load Balancing For Parallel Queues
Tak-Shing Peter Yum, Hua-Chun Lin |
ICC (3) | 2 |
| 1984 | Adaptive Load Balancing for Parallel Queues with Traffic ConstraintsabstractA new adaptive rule for balancing the load on many parallel queues is designed. The queueing system can accommodate different types of customers where each type is persistent in joining a particular set of queues. The rule makes use of a set of bias levels to compare the queue lengths and makes use of the majority-vote rule for propagating the routing decisions to the different types of customers. Delay and blocking probability comparisons between this rule and three other adaptive load balancing rules, the JSQ (join-the-shortest-queue) rule, the GBQ (generalized biased queue) rule, and the MRT (minimum response time) rule, show that it is always superior under widely different conditions on a three-parallel-queue system. Tak-Shing Peter Yum, Hua-Chun Lin |
IEEE Trans. Commun. | 2 |