Trustworthy Distributed Computing on Social Networks

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In this paper we investigate a new computing paradigm, called SocialCloud, in which computing nodes are governed by social ties driven from a bootstrapping trust-possessing social graph. We investigate how this paradigm differs from existing computing paradigms, such as grid computing and the conventional cloud computing paradigms. We show that incentives to adopt this paradigm are intuitive and natural, and security and trust guarantees provided by it are solid. We propose metrics for measuring the utility and advantage of this computing paradigm, and using real-world social graphs and structures of social traces; we investigate the potential of this paradigmfor ordinary users. We study several design options and trade-offs, such as scheduling algorithms, centralization, and straggler handling, and show how they affect the utility of the paradigm. Interestingly, we conclude that whereas graphs known in the literature for high trust properties do not serve distributed trusted computing algorithms, such as Sybil defenses-for their weak algorithmic properties, such graphs are good candidates for our paradigm for their self-load-balancing features.
Publisher
IEEE COMPUTER SOC
Issue Date
2014-07
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON SERVICES COMPUTING, v.7, no.3, pp.333 - 345

ISSN
1939-1374
DOI
10.1109/TSC.2013.56
URI
http://hdl.handle.net/10203/192800
Appears in Collection
EE-Journal Papers(저널논문)
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