Graduate School and Research Center in Digital Sciences

A measurement study of data-intensive network traffic patterns in a private cloud

Venzano, Daniele; Michiardi, Pietro

Research Report RR-13-287

In this work we investigate the impact of virtualization on the raw network performance attainable by "data-intensive" applications deployed in a private cloud. To this end we developed a new software tool, called OSMeF, to take repeatable measurements on our OpenStack-based platform. We also discuss the implications of our measurement results toward informed deployments of distributed applications such as Hadoop.

Document Bibtex

Title:A measurement study of data-intensive network traffic patterns in a private cloud
Keywords:Big data, OpenStack, measurement, network, virtualization, cloud computing
Type:Report
Language:English
City:
Date:
Department:Data Science
Eurecom ref:4134
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Research Report RR-13-287 and is available at :
Bibtex: @techreport{EURECOM+4134, year = {2013}, title = {{A} measurement study of data-intensive network traffic patterns in a private cloud}, author = {{V}enzano, {D}aniele and {M}ichiardi, {P}ietro}, number = {EURECOM+4134}, month = {08}, institution = {Eurecom}, url = {http://www.eurecom.fr/publication/4134},, }
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