Journal
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
Volume 15, Issue 1, Pages 3-28Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2700057
Keywords
Design; Performance; Distributed systems; socially aware data management; decentralized social graph; P2P networks; social sensors; social inferences
Funding
- National Science Foundation [CNS-0952420, CNS-0831785, CNS-0831753]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [0952420] Funding Source: National Science Foundation
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An unprecedented information wealth produced by online social networks, further augmented by location/collocation data, is currently fragmented across different proprietary services. Combined, it can accurately represent the social world and enable novel socially aware applications. We present Prometheus, a socially aware peer-to-peer service that collects social information from multiple sources into a multigraph managed in a decentralized fashion on user-contributed nodes, and exposes it through an interface implementing nontrivial social inferences while complying with user-defined access policies. Simulations and experiments on PlanetLab with emulated application workloads show the system exhibits good end-to-end response time, low communication overhead, and resilience to malicious attacks.
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