A Measurement Study of Data-Intensive Network Traffic Patterns in a Private Cloud

  • Authors:
  • Daniele Venzano;Pietro Michiardi

  • Affiliations:
  • -;-

  • Venue:
  • UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
  • Year:
  • 2013

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Abstract

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 Open Stack-based platform. We also discuss the implications of our measurement results toward informed deployments of distributed applications such as Hadoop.