Kugler, Kai, Chard, Kyle, Caton, Simon, Rana, Omer F. and Katz, Daniel S. (2013) Constructing a Social Content Delivery Network for eScience. In: IEEE 9th International Conference on eScience (eScience), 2013. IEEE, pp. 350-356. ISBN 9780769550831Full text not available from this repository.
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.
|Item Type:||Book Section|
|Subjects:||T Technology > T Technology (General) > Information Technology > Cloud computing
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
|Divisions:||School of Computing > Staff Research and Publications|
|Depositing User:||CAOIMHE NI MHAICIN|
|Date Deposited:||28 Apr 2016 09:29|
|Last Modified:||28 Apr 2016 09:29|
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