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USS
2010
15 years 2 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
HPDC
2008
IEEE
15 years 5 months ago
Eliminating the middleman: peer-to-peer dataflow
Efficiently executing large-scale, data-intensive workflows such as Montage must take into account the volume and pattern of communication. When orchestrating data-centric workflo...
Adam Barker, Jon B. Weissman, Jano I. van Hemert
ICDCS
2011
IEEE
14 years 4 months ago
Privacy-Preserving Query over Encrypted Graph-Structured Data in Cloud Computing
— In the emerging cloud computing paradigm, data owners become increasingly motivated to outsource their complex data management systems from local sites to the commercial public...
Ning Cao, Zhenyu Yang, Cong Wang, Kui Ren, Wenjing...
CCS
2007
ACM
15 years 11 months ago
Non-volatile memory and disks: avenues for policy architectures
As computing models change, so too do the demands on storage. Distributed and virtualized systems introduce new vulnerabilities, assumptions, and performance requirements on disks...
Kevin R. B. Butler, Stephen E. McLaughlin, Patrick...
151
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ATAL
2010
Springer
15 years 6 months ago
Distributed coordination of mobile agent teams: the advantage of planning ahead
We consider the problem of coordinating a team of agents engaged in executing a set of inter-dependent, geographically dispersed tasks in an oversubscribed and uncertain environme...
Laura Barbulescu, Zachary B. Rubinstein, Stephen F...