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. ...
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...
— 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...
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...
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...