Paper Info
Title
Programming Support for an Integrated Multi-Party Computation and MapReduce Infrastructure
Abstract
We 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 high-level 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.
Year
DOI
Venue
2015
10.1109/HotWeb.2015.21
HotWeb
Keywords
DocType
Citations 
programming support,multiparty computation,MPC,MapReduce infrastructure,distributed computational infrastructure,high-level programming language,static analysis algorithm,reasoning about program
Conference
3
PageRank 
References 
Authors
0.40
11
3
Name
Order
Citations
PageRank
Nikolaj Volgushev1203.46
Andrei Lapets27510.53
Azer Bestavros33791764.82