Paper Info
Title
Constructing a Social Content Delivery Network for eScience
Abstract
Increases in the size of research data and the move towards citizen science, in which everyday users contribute data and analyses, have resulted in a research data deluge. Researchers must now carefully determine how to store, transfer and analyze "Big Data" in collaborative environments. This task is even more complicated when considering budget and locality constraints on data storage and access. In this paper we investigate the potential to construct a Social Content Delivery Network (S-CDN) based upon the social networks that exist between researchers. The S-CDN model builds upon the incentives of collaborative researchers within a given scientific community to address their data challenges collaboratively and in proven trusted settings. In this paper we present a prototype implementation of a S-CDN and investigate the performance of the data transfer mechanisms (using Glob us Online) and the potential cost advantages of this approach.
Year
DOI
Venue
2013
10.1109/eScience.2013.52
eScience
Keywords
Field
DocType
social cloud,potential cost advantage,research data,big data,big data analysis,data analysis,scientific community,e-science,social computing,s-cdn model,data transfer mechanisms,research data deluge,collaborative researcher,data challenges collaboratively,data transfer mechanism,data storage,social networking (online),content delivery network,social content delivery network,collaborative environments,collaborative environment
Content delivery network,Data mining,Locality,World Wide Web,Social network,Incentive,Computer science,Citizen science,Social computing,Big data,Cloud computing,Distributed computing
Conference
ISSN
Citations 
PageRank 
2325-372X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Kai Kugler101.01
Kyle Chard251556.70
Simon Caton315916.20
Omer F. Rana42181229.52
Daniel S. Katz51496121.04