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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2019
License: CC BY
Data sources: Sygma
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Replication Package: Microservice-tailored Generation of Session-based Workload Models for Representative Load Testing

Authors: Schulz, Henning; Angerstein, Tobias; Dušan Okanović; Hoorn, André Van;

Replication Package: Microservice-tailored Generation of Session-based Workload Models for Representative Load Testing

Abstract

This is the replication package for the publication Microservice-tailored Generation of Session-based Workload Models for Representative Load Testing, MASCOTS 2019. It holds the experiment setup, results, and detailed analyses of the results. The README.md (or README.pdf) contains further descriptions and instructions.

This work is being supported by the German Federal Ministry of Education and Research (grant no. 01IS17010, ContinuITy) and the European Union's Horizon 2020 research and innovation programme (grant no.825040, RADON). The authors would like to thank the HPI Future SOC Lab for providing the infrastructure.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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