PhD Course: Advanced Edge-Cloud computing systems

The applications used today for processing Big Data repositories are highly centralized and leverage cloud platforms to perform all major operations involving data collection, storing, processing, analysis and machine learning. However, using only the cloud can result in serious inefficiencies in terms of network traffic, latency times and optimization of energy consumption. In the latest years researchers and IT companies have proposed the adoption of the edge computing paradigm for processing data closer to where they are generated, for achieving low latency, privacy preserving and scalability. These benefits can be complemented by those provided by the cloud, which allows for aggregating large amounts of data persistently and performing compute-intensive analysis using a large amount of computing resources. This scenario defines the so-called edge-cloud compute continuum. In this course we will introduce the basic concepts of edge-cloud compute continuum and describe models, architectures, and frameworks based on this paradigm.
Applications of cloud-edge computing systems in the area of Big Data analysis and machine learning will also be presented and discussed.

seminar room - 5th floor, cube 42C

19/02/2024  (10:30-12:30)
21/02/2024  (10:30-12:30)
22/02/2024  (10:30-12:30)

DS5 - 2th floor, cube 41B

23/02/2024 (10:30-12:30)

8h - 2 CFU

Codice Team: 9ym721h