Show simple item record

dc.contributor.authorVolgushev, Nikolajen_US
dc.contributor.authorLapets, Andreien_US
dc.contributor.authorBestavros, Azeren_US
dc.date.accessioned2017-04-26T18:43:35Z
dc.date.available2017-04-26T18:43:35Z
dc.date.issued2015-09-01
dc.identifier.citationVolgushev, Nikolaj; Lapets, Andrei; Bestavros, Azer. Programming Support for an Integrated Multi-Party Computation and MapReduce Infrastructure. Technical Report BU-CS-TR 2015-011, Computer Science Department, Boston University, September 1, 2015.
dc.identifier.urihttps://hdl.handle.net/2144/21775
dc.description.abstractWe describe and present a prototype of a distributed computational infrastructure and associated high-level programming language that allow multiple parties to leverage their own computational resources capable of supporting MapReduce [1] operations in combination with multi-party computation (MPC). Our architecture allows a programmer to author and compile a protocol using a uniform collection of standard constructs, even when that protocol involves computations that take place locally within each participant’s MapReduce cluster as well as across all the participants using an MPC protocol. The highlevel programming language provided to the user is accompanied by static analysis algorithms that allow the programmer to reason about the efficiency of the protocol before compiling and running it. We present two example applications demonstrating how such an infrastructure can be employed.en_US
dc.description.sponsorshipThis work was supported in part by NSF Grants: #1430145, #1414119, #1347522, and #1012798.en_US
dc.language.isoen_US
dc.publisherComputer Science Department, Boston Universityen_US
dc.relation.ispartofseriesBUCS Technical Reports;BUCS-TR-2015-011
dc.subjectCloud computingen_US
dc.subjectMulti-party computation (MPC)en_US
dc.titleProgramming support for an integrated multi-party computation and MapReduce infrastructureen_US
dc.typeTechnical Reporten_US


This item appears in the following Collection(s)

Show simple item record