77 citations · 77 across the 1 of their papers we have counts for
3 papers
cs.DB2017★ 77 cited
A Survey on Geographically Distributed Big-Data Processing using MapReduce
Shlomi Dolev, Patricia Florissi, Ehud Gudes +2
Hadoop and Spark are widely used distributed processing frameworks for large-scale data processing in an efficient and fault-tolerant manner on private or public clouds. These big-…
cs.DB2016
Efficient and Private Approximations of Distributed Databases Calculations
Philip Derbeko, Shlomi Dolev, Ehud Gudes +1
In recent years, an increasing amount of data is collected in different and often, not cooperative, databases. The problem of privacy-preserving, distributed calculations over sepa…
cs.DB2016
Security and Privacy Aspects in MapReduce on Clouds: A Survey
Philip Derbeko, Shlomi Dolev, Ehud Gudes +1
MapReduce is a programming system for distributed processing large-scale data in an efficient and fault tolerant manner on a private, public, or hybrid cloud. MapReduce is extensiv…