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Askar Jaboldinov

dblp:117/4256 · DBLP profile ↗
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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
Network management and operations · 87% Network performance modeling · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network management and operations › network configuration
automated configuration		 0.112012
AutoNetkit: simplifying large scale, open-source network experimentation · SIGCOMM 2012
Network management and operations
network configuration		 0.112012
AutoNetkit: simplifying large scale, open-source network experimentation · SIGCOMM 2012
Network performance modeling
network emulation		 0.012012
AutoNetkit: simplifying large scale, open-source network experimentation · SIGCOMM 2012

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

abstraction · 0.1
YearPublicationVenuePosition
2012 AutoNetkit: simplifying large scale, open-source network experimentation
abstract
We present a methodology that brings simplicity to large and complex test labs by using abstraction. The networking community has appreciated the value of large scale test labs to explore complex network interactions, as seen in projects such as PlanetLab, GENI, DETER, Emulab, and SecSI. Virtualization has enabled the creation of many more such labs. However, one problem remains: it is time consuming, tedious and error prone to setup and configure large scale test networks. Separate devices need to be configured in a coordinated way, even in a virtual lab.
Simon Knight 0002, Askar Jaboldinov, Olaf Maennel, Iain Phillips 0002, Matthew Roughan
 SIGCOMM2