Title
CloudGPS: A scalable and ISP-friendly server selection scheme in cloud computing environments
Abstract
In order to minimize user perceived latency while ensuring high data availability, cloud applications desire to select servers from one of the multiple data centers (i.e., server clusters) in different geographical locations, which are able to provide desired services with low latency and low cost. This paper presents CloudGPS, a new server selection scheme of the cloud computing environment that achieves high scalability and ISP-friendliness. CloudGPS proposes a configurable global performance function that allows Internet service providers (ISPs) and cloud service providers (CSPs) to leverage the cost in terms of inter-domain transit traffic and the quality of service in terms of network latency. CloudGPS bounds the overall burden to be linear with the number of end users. Moreover, compared with traditional approaches, CloudGPS significantly reduces network distance measurement cost (i.e., from O(N) to O(1) for each end user in an application using N data centers). Furthermore, CloudGPS achieves ISP-friendliness by significantly decreasing inter-domain transit traffic.
Year
DOI
Venue
2012
10.1109/IWQoS.2012.6245964
IWQoS
Keywords
Field
DocType
cloud service provider,configurable global performance function,internet service provider,cloud computing environments,multiple data centers,computer centres,low latency,cloudgps,isp-friendly server selection scheme,cloud application,high data availability,quality of service,n data center,cloud service providers,user perceived latency,internet service providers,end user,inter-domain transit traffic,cloud computing,csp,cloud computing environment,low cost,databases,wireless sensor network,estimation,data center,accuracy,servers,service provider
End user,Computer science,Latency (engineering),Server,Quality of service,Computer network,Real-time computing,Latency (engineering),Wireless sensor network,Cloud computing,Scalability
Conference
ISSN
ISBN
Citations 
1548-615X E-ISBN : 978-1-4673-1297-4
978-1-4673-1297-4
18
PageRank 
References 
Authors
0.74
21
4
Name
Order
Citations
PageRank
Cong Ding1935.36
Yang Chen237533.50
Tianyin Xu341932.99
Xiaoming Fu41594126.46