EBSIS Summer School
on Distributed Event Based Systems
and Related Topics 2016

July 12—15, 2016 – Sinaia, Romania


★ Lecture Abstract

The Data Streaming Processing Paradigm and its Use in Modern Fog Architectures

Vincenzo Gulisano (Chalmers University of Technology Gothenburg)

Since the year 2000, data streaming has gained popularity over traditional store-then-process paradigms thanks to its ability to provide high-throughput and low-latency continuous analysis of unbounded sources of data. Data streaming can be particularly helpful in the processing and analysis of the massive amounts of data sensed by Fog architectures (highly distributed and heterogeneous networks of sensors and computing devices) such as smart grids or vehicular networks.

In this lecture, we will begin by introducing Fog architectures and discussing underlying challenges such as the need for "close-to-the-source", efficient and privacy-preserving data analysis. Subsequently, we will focus on the data streaming model itself, with an in-depth discussion about its internals (discussing streams, operators and continuous queries) and about distributed and parallel (both shared-nothing and shared-memory) data processing. We will then conclude looking at how data streaming has been leveraged in the last years and what research paths are still to be explored in security and privacy applications of Fog architectures.