Towards Consistent and Private Large Scale Distributed Data Management Systems that
are Functional and Efficient.

Amr El Abbadi
Department of Computer Science,
University of California, Santa Barbara

Abstract:

Data is being generated, stored, managed and analyzed all around us at unprecedented
rates. Large scale, globally dispersed data manipulation mechanisms are the common
eco-system for managing such big data sets.  However, managing large data sets in such
settings raises significant consistency and privacy concerns that have resulted in
sacrifices in functionality or efficiency. In this talk, we will explore approaches to
mitigate the shortcomings incurred to ensure consistent data management as well as
protecting data from an increasing number of non-trivial adversarial threats. The talk
will relate some of the foundational works of the 80s to the future of extensible
distributed data management systems.