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Prometheus: User-Controlled P2P Social Data Management for Socially-Aware Applications

Abstract : Recent Internet applications, such as online social networks and user-generated content sharing, produce an unprecedented amount of social information, which is further augmented by location or collocation data collected from mobile phones. Unfortunately, this wealth of social information is fragmented across many different proprietary applications. Combined, it could provide a more accurate representation of the social world, and it could enable a whole new set of socially-aware applications. We introduce Prometheus, a peer-to-peer service that collects and manages social information from multiple sources and implements a set of social inference functions while enforcing user-defined access control policies. Prometheus is socially-aware: it allows users to select peers that manage their social information based on social trust and exploits naturally-formed social groups for improved performance. We tested our Prometheus prototype on PlanetLab and built a mobile social application to test the performance of its social inference functions under real-time constraints. We showed that the social-based mapping of users onto peers improves the service response time and high service availability is achieved with low overhead.
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Nicolas Kourtellis, Joshua Finnis, Paul Anderson, Jeremy Blackburn, Cristian Borcea, et al.. Prometheus: User-Controlled P2P Social Data Management for Socially-Aware Applications. ACM/IFIP/USENIX 11th International Middleware Conference (MIDDLEWARE), Nov 2010, Bangalore, India. pp.212-231, ⟨10.1007/978-3-642-16955-7_11⟩. ⟨hal-01055282⟩

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