Title
The Impact of Virtualization on Network Performance of Amazon EC2 Data Center
Abstract
Cloud computing services allow users to lease computing resources from large scale data centers operated by service providers. Using cloud services, users can deploy a wide variety of applications dynamically and on-demand. Most cloud service providers use machine virtualization to provide flexible and cost-effective resource sharing. However, few studies have investigated the impact of machine virtualization in the cloud on networking performance. In this paper, we present a measurement study to characterize the impact of virtualization on the networking performance of the Amazon Elastic Cloud Computing (EC2) data center. We measure the processor sharing, packet delay, TCP/UDP throughput and packet loss among Amazon EC2 virtual machines. Our results show that even though the data center network is lightly utilized, virtualization can still cause significant throughput instability and abnormal delay variations. We discuss the implications of our findings on several classes of applications.
Year
DOI
Venue
2010
10.1109/INFCOM.2010.5461931
INFOCOM
Keywords
Field
DocType
large scale data center,packet delay,cloud service provider,processor sharing,computer centres,cloud computing service,network performance,cloud service,networking performance,virtual machines,amazon elastic cloud computing,data center,cloud service providers,packet loss,internet,ec2 data center,amazon elastic cloud computing data center,performance evaluation,tcp/udp throughput,cloud computing services,amazon ec2,computing resources,machine virtualization,data center network,service provider,cost effectiveness,virtualization,measurement,meteorology,throughput,resource management,virtual machine,computer networks,resource sharing,propagation delay,cloud computing
Virtualization,Service virtualization,Virtual machine,Computer science,Computer network,Full virtualization,Data virtualization,Cloud testing,Operating system,Cloud computing,Distributed computing,Network performance
Conference
ISSN
ISBN
Citations 
0743-166X
978-1-4244-5836-3
330
PageRank 
References 
Authors
17.15
12
2
Search Limit
100330
Name
Order
Citations
PageRank
Guohui Wang1108860.78
T. S. Eugene Ng22491274.31