DocumentCode :
2029926
Title :
A Measurement Study of Data-Intensive Network Traffic Patterns in a Private Cloud
Author :
Venzano, Daniele ; Michiardi, Pietro
Author_Institution :
EURECOM, Sophia-Antipolis, France
fYear :
2013
fDate :
9-12 Dec. 2013
Firstpage :
476
Lastpage :
481
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.
Keywords :
cloud computing; computer network performance evaluation; virtualisation; Hadoop; OSMeF; Open Stack-based platform; data intensive applications; data-intensive network traffic patterns; distributed applications; private cloud; raw network performance; software tool; virtualization; Cloud computing; Measurement; Servers; Throughput; Virtual machine monitors; Virtualization; Big data; OpenStack; cloud computing; measurement; network; virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Utility and Cloud Computing (UCC), 2013 IEEE/ACM 6th International Conference on
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/UCC.2013.93
Filename :
6809452
Link To Document :
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