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Abdul Navaz

dblp:155/8115 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Routing and switching › switching systems
distributed switch architecture
0.212014
Experiments on Networking of Hadoop · ICNP 2014
Network management and operations › network robustness
fault tolerance
0.212014
Experiments on Networking of Hadoop · ICNP 2014
Network measurement and analytics › workload characterization
usage characterization
0.212014
Experiments on Networking of Hadoop · ICNP 2014

Methods — techniques the papers use, named apart from their topics

simulation · 0.4network measurement · 0.4
YearPublicationVenuePosition
2014 Experiments on Networking of Hadoop
abstract
Hadoop 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
ICNP1