Demo Data from EDBT 2026 / reviewers in the wild / expert
Po-Cheng Hsu
dblp:191/7292
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 networks
1 paper |
Routing and switching · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Routing and switching
IP lookup |
0.3 | 1 | 2017 | Multi-Inherited Search Tree for Dynamic IP Router-Tables · IEEE Trans. Computers 2017 |
Routing and switching › IP lookup
longest prefix matching |
0.3 | 1 | 2017 | Multi-Inherited Search Tree for Dynamic IP Router-Tables · IEEE Trans. Computers 2017 |
Algorithms and data structures › data structure design › search structures
search trees |
0.1 | 1 | 2017 | Multi-Inherited Search Tree for Dynamic IP Router-Tables · IEEE Trans. Computers 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Multi-Inherited Search Tree for Dynamic IP Router-TablesabstractIP lookup and routing table update affect the speed at which a router forwards packets. This study proposes a new data structure for dynamic router tables used in IP lookup and update, called the Multi-inherited Search Tree (MIST). Partitioning each prefix according to an index value and removing the relationships among prefixes enables performing IP lookup operations efficiently. Because a prefix trie is used as a substructure, memory can be consumed and dynamic router-table operations can be performed efficiently. Experiments using real IPv4 routing databases indicated that the MIST uses memory efficiently and performs lookup, insert, and delete operations effectively. Po-Cheng Hsu, Sun-Yuan Hsieh |
IEEE Trans. Computers | 1 |