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Constructing a social content delivery network for eScience

Kugler, Kai, Chard, Kyle, Caton, Simon, Rana, Omer Farooq and Katz, Daniel S. 2013. Constructing a social content delivery network for eScience. Presented at: IEEE 9th International Conference on eScience, Beijing, China, 22-25 Oct. 2013. 2013 IEEE 9th International Conference on eScience (eScience). Institute of Electrical and Electronics Engineers, pp. 350-356. 10.1109/eScience.2013.52

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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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Institute of Electrical and Electronics Engineers
Last Modified: 04 Jun 2017 06:06
URI: http://orca.cf.ac.uk/id/eprint/56398

Citation Data

Cited 3 times in Google Scholar. View in Google Scholar

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Cited 1 time in Web of Science. View in Web of Science.

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