A Social Cloud for Public eResearch

  • Authors:
  • Koshy John;Kris Bubendorfer;Kyle Chard

  • Affiliations:
  • -;-;-

  • Venue:
  • ESCIENCE '11 Proceedings of the 2011 IEEE Seventh International Conference on eScience
  • Year:
  • 2011

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Abstract

Scientific researchers faced with extremely large computations or the requirement of storing vast quantities of data have come to rely on distributed computational models like cloud computing. However, distributed computation is typically complex and expensive. The Social Cloud for Public eResearch aims to provide researchers with a platform to exploit social networks to reach out to users who would otherwise be unlikely to donate computational time for scientific and other research oriented projects. In this paper we explore the motivations of users to contribute computational time and examine the various ways these motivations can be catered to through established social networks. We specifically look at integrating Face book and BOINC, and discuss the architecture of the functional system and the novel social engineering algorithms that power it.