Prometheus: User-controlled P2P social data management for socially-aware applications

Document Type

Conference Proceeding

Publication Date

12-1-2010

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. © IFIP International Federation for Information Processing 2010.

Identifier

79956211908 (Scopus)

ISBN

[3642169546, 9783642169540]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-642-16955-7_11

e-ISSN

16113349

ISSN

03029743

First Page

212

Last Page

231

Volume

6452 LNCS

Grant

0831753

Fund Ref

Directorate for Computer and Information Science and Engineering

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