Published January 26, 2018 | Version 1.0

ENTICE VM image analysis and optimised fragmentation frequently built images dataset

  • 1. Liverpool John Moores University
  • 2. MTA SZTAKI

Description

As part of the evaluation of ENTICE VM image analysis and optimised fragmentation services we have implemented a simulation environment which analyses online software package repositories (e.g. ones offered by the maintainers of the Ubuntu and Debian Linux distributions) and deduces decomposition options as well as expected fragment sizes based on metadata acquired from these repositories. This dataset contains the collected recipes for several frequently built Ubuntu Linux based VMIs (e.g., LAMP, LAPP, LEMP, LLMP, LYME, MEAN/MERN, LTM, etc.) and  the calculated fragments and their relations. The dataset is used to analyse and evaluate the behaviour of the fragmentation services. The dataset is in compressed LRZIP format.

Files

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Additional details

Funding

European Commission
ENTICE - dEcentralized repositories for traNsparent and efficienT vIrtual maChine opErations 644179