Demo Data from EDBT 2026 / reviewers in the wild / expert
Abdul Navaz
dblp:155/8115
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 · 33% Network management and operations · 33% Network measurement and analytics · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Routing and switching › switching systems
distributed switch architecture |
0.2 | 1 | 2014 | Experiments on Networking of Hadoop · ICNP 2014 |
Network management and operations › network robustness
fault tolerance |
0.2 | 1 | 2014 | Experiments on Networking of Hadoop · ICNP 2014 |
Network measurement and analytics › workload characterization
usage characterization |
0.2 | 1 | 2014 | Experiments on Networking of Hadoop · ICNP 2014 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.4network measurement · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Experiments on Networking of HadoopabstractHadoop is a popular application process big data problems in a networked dist computers. Investigations of performance for networking have been of interest with the networking paradigm through on-demand an enforcements. Network usage characterization can further help understand what policy info needed during application use cases. At scale e Hadoop jobs will help facilitate such char report how Hadoop networking usage can be chi experimentation environment using the Environment for Network Innovation). Further distributed switch framework that may help alleviate the fault tolerance schemes in Hadoop application in the forwarding plane. Delay in recovery from failures has been reduced by almost 99% through such a distributed switch architecture deployed on the GENT experimentation environment. Abdul Navaz, Gandhimathi Velusamy, Deniz Gurkan |
ICNP | 1 |