EDBT 2026 Demo / reviewers in the wild / expert
Clark Jeffries
dblp:55/2152
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2006
0000-0002-3044-2649ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3Theory of computation · 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.
| Computer networks
1 paper |
Network performance modeling · 50% Network optimization and economics · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics › game theory › routing game
braess paradox |
0.0 | 1 | 1997 | Congestion resulting from increased capacity in single-server queueing networks · IEEE/ACM Trans. Netw. 1997 |
Network performance modeling
queueing network model |
0.0 | 1 | 1997 | Congestion resulting from increased capacity in single-server queueing networks · IEEE/ACM Trans. Netw. 1997 |
Methods — techniques the papers use, named apart from their topics
queueing theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Secure remote user access over insecure networks
Mohammad Peyravian, Clark Jeffries |
Comput. Commun. | 2 |
| 2001 | Two tools for network traffic analysis
M. Ayedemir, Laura Bottomley, Marie Coffin, Clark Jeffries, Peter C. Kiessler, W. Ligon, J. Marin, Arne A. Nilsson, J. McGovern, Andrew J. Rindos, Ken V. Vu, Steven P. Woolet, A. Zaglou |
Comput. Networks | 4 |
| 1997 | Congestion resulting from increased capacity in single-server queueing networksabstractIn many networks for traffic and telecommunications, minimizing delays from entry to exit is a major concern of users. In user-optimal routing, each user chooses a path to minimize delay from entry to exit, given the existing paths chosen by all other users. Under user-optimal routing, at equilibrium all users experience the same delay. Many networks, especially data networks, are commonly modeled as networks of single-server queues. We report examples of single-server queueing networks with user-optimal routing in which adding servers or increasing the capacity of existing servers worsens the delay experienced by all users. Joel E. Cohen, Clark Jeffries |
IEEE/ACM Trans. Netw. | 2 |
| 1988 | A qualitative analysis of I
Terrence Bone, Clark Jeffries, Victor Klee |
Discret. Appl. Math. | 2 |