Privacy-aware Distributed Incremental Computation

Description

Distributed incremental processing is an e‚ective solution
for processing large amounts of data in an e�cient way. In
this seŠing, algorithms for operator placement automatically
distribute data queries the the available processing units.
However, current algorithms for operator placement focus
on performance and ignore privacy concerns that arise when
handling sensitive data. We present ongoing research on a
new methodology for privacy-aware operator placement that
both prevents leakage of sensitive information and improves
performance. We implement a working prototype based on
previous work on (local) incremental computation.

Period	22 Jun 2017
Event title	IC 2017 First Workshop on Incremental Computing (IC)
Event type	Workshop
Location	Barcelona, Spain