Paper Info
Title
A Measurement Study of Data-Intensive Network Traffic Patterns in a Private Cloud
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.
Year
DOI
Venue
2013
10.1109/UCC.2013.93
UCC
Keywords
Field
DocType
repeatable measurement,open stack-based platform,data-intensive network traffic patterns,private cloud,new software tool,raw network performance,measurement study,measurement result,informed deployment,cloud computing,virtualization,big data,measurement,virtualisation,network
Software tool,Virtualization,Computer science,Server,Open stack,Throughput,Big data,Operating system,Network performance,Cloud computing
Conference
Citations 
PageRank 
References 
6
0.66
12
Authors
2
Name
Order
Citations
PageRank
Daniele Venzano122116.42
Pietro Michiardi21512111.53