Demo Data from VLDB 2026 / reviewers in the wild / expert
Larry Luo
dblp:174/9517
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 |
Datacenter networks · 67% Routing and switching · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Datacenter networks › datacenter transport
flow completion time optimization |
0.3 | 1 | 2017 | One more queue is enough: Minimizing flow completion time with explicit priority notification · INFOCOM 2017 |
Datacenter networks
flow scheduling |
0.3 | 1 | 2017 | One more queue is enough: Minimizing flow completion time with explicit priority notification · INFOCOM 2017 |
Routing and switching
switch buffer management |
0.3 | 1 | 2017 | One more queue is enough: Minimizing flow completion time with explicit priority notification · INFOCOM 2017 |
Methods — techniques the papers use, named apart from their topics
testbed experimentation · 0.3simulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | One more queue is enough: Minimizing flow completion time with explicit priority notificationabstractIdeally, minimizing the flow completion time (FCT) requires millions of priorities supported by the underlying network so that each flow has its unique priority. However, in production datacenters, the available switch priority queues for flow scheduling are very limited (merely 2 or 3). This practical constraint seriously degrades the performance of previous approaches. In this paper, we introduce Explicit Priority Notification (EPN), a novel scheduling mechanism which emulates fine-grained priorities (i.e., desired priorities or DP) using only two switch priority queues. EPN can support various flow scheduling disciplines with or without flow size information. We have implemented EPN on commodity switches and evaluated its performance with both testbed experiments and extensive simulations. Our results show that, with flow size information, EPN achieves comparable FCT as pFabric that requires clean-slate switch hardware. And EPN also outperforms TCP by up to 60.5% if it bins the traffic into two priority queues according to flow size. In information-agnostic setting, EPN outperforms PIAS with two priority queues by up to 37.7%. To the best of our knowledge, EPN is the first system that provides millions of priorities for flow scheduling with commodity switches. Yuanwei Lu, Guo Chen 0001, Larry Luo, Kun Tan 0002, Yongqiang Xiong, Xiaoliang Wang 0001, Enhong Chen |
INFOCOM | 3 |