Demo Data from VLDB 2026 / reviewers in the wild / expert
Lohit Sarna
dblp:117/4273
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 |
Software-defined and programmable networks · 87% Network measurement and analytics · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks
programmable data plane |
0.1 | 1 | 2012 | SP4: scalable programmable packet processing platform · SIGCOMM 2012 |
Software-defined and programmable networks › programmable data plane
software packet processing |
0.1 | 1 | 2012 | SP4: scalable programmable packet processing platform · SIGCOMM 2012 |
Network measurement and analytics
traffic analysis |
0.0 | 1 | 2012 | SP4: scalable programmable packet processing platform · SIGCOMM 2012 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | SP4: scalable programmable packet processing platformabstractWe propose the demonstration of SP4, a software-based programmable packet processing platform that supports (1) stateful packet processing useful for analyzing traffic flows with session semantics, (2) uses a task-stealing architecture that automatically leverages multi-core processing capabilities in a load-balanced manner without the need for explicit performance profiling, and (3) a declarative language for rapidly specifying and composing new packet processing functionalities from reusable modules. Our demonstration showcases the use of SP4 for performing high-throughput analysis of traffic traces for a variety of applications, such as filtering out unwanted traffic and detection of DDoS attacks using machine learning based analysis. Harjot Gill, Dong Lin, Lohit Sarna, Robert Mead, Kenton C. T. Lee, Boon Thau Loo |
SIGCOMM | 3 |