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Author Maennel, Olaf ♦ Knight, Simon ♦ Roughan, Matthew ♦ Jaboldinov, Askar ♦ Phillips, Iain
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Emulation ♦ Network management ♦ Automated configuration
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. AutoNetkit, an open source tool, uses abstractions and defaults to achieve both configuration and deployment and create such large-scale virtual labs. This allows researchers and operators to explore new protocols, create complex models of networks and predict consequences of configuration changes. However, our abstractions could also allow the discussion of the broader configuration management problem. Abstractions that currently configure networks in a test lab can, in the future, be employed in configuration management tools for real networks.
Description Affiliation: Loughborough University, Loughborough, United Kingdom (Jaboldinov, Askar; Maennel, Olaf; Phillips, Iain) || University of Adelaide, Adelaide, Australia (Knight, Simon; Roughan, Matthew)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1993-07-01
Publisher Place New York
Journal ACM SIGCOMM Computer Communication Review (CCRV)
Volume Number 42
Issue Number 4
Page Count 2
Starting Page 97
Ending Page 98

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Source: ACM Digital Library