 |  |
28 October 2024
|
|
This site uses |
Last updated on
28 October 2024 |
Lecturer: Prof. Tommaso Cucinotta.
Duration and format: 30 hours of lab lessons (3 CFU).
Target programs: PhD in Artificial Intelligence, PhD in Data Science, PhD in Emerging Digital Technologies.
Schedule: Lectures for the a.y. 2023-2024 will begin on June 3rd, 2024, and they are held every Monday and Thursday at 4pm-7pm.
Location: The first lecture will be held in the Sant'Anna site in Palazzo Toscanelli, Aula 1
Exam: coding project and oral examination.
This is a hands-on and applied course following up to the Cloud Computing & Big-Data course. Here, students will put in practice the theoretical/abstract concepts acquired in the general course on Cloud Computing & Big-Data. During the practical sessions, we'll have a deep dive on such concepts as: machine virtualization and OS-level virtualization on Linux; virtual networking on Linux; programming abstractions for cloud and distributed computing; elasticity in practice; big-data programming frameworks; command-line interface for major public cloud services; popular open-source cloud platforms.
Students need to have attended the Cloud Computing & Big-Data general course, and they must be fluent in programming and shell scripting on Linux.
Students will acquire a unique insight into the world of cloud computing and big-data related technologies, and will be able to master key tools behind their use. This is a fundamental brick in the background of a software engineer / computer scientist who will deal with modern distributed software systems in industry or academia, spanning across high-performance, cloud and even (increasingly connected) embedded systems.
Prof. Tommaso Cucinotta has a MSc in Computer Engineering from University of Pisa and a PhD from Scuola Superiore Sant'Anna. He spent more than 10 years at the Real-Time Systems Laboratory (ReTiS) of Scuola Superiore Sant'Anna carrying out research in security and smart-card based authentication, adaptive deadline-based scheduling in the Linux kernel for embedded, soft real-time and multimedia applications, temporal isolation in virtualized cloud services and novel OS designs for massively parallel and distributed systems. He has been MTS at Bell Labs in Dublin, carrying out industrial research on security and confidentiality, and real-time performance of cloud systems, with a focus on Telco applications. He has also been a Software Development Engineer in AWS DataBase Services in Dublin, Ireland, working on scalability and performance enhancements to the AWS DynamoDB NoSQL real-time data store. Since 2016, he is back at the ReTiS of Scuola Superiore Sant'Anna as associate professor. He is a member of the PhD board of the Data Science PhD program jointly offered by Scuola Sant'Anna, University of Pisa, Scuola Normale Superiore, IMT Lucca and CNR since its first edition in the a.y. 2017/18. He is also a member of the PhD board of the National PhD in AI - AI for Society - program jointly offered by Scuola Sant'Anna, University of Pisa and other academic institutions since its first edition in the a.y. 2021/22. Since year 2019, he is head of the real-time and embedded systems research area at the RETIS.
Download course brochure PDF format: CloudComputingBigDataLab.pdf
Access to course communications
Access to course calendar
Access to course material: TBD
Related course: Cloud Computing & Big Data
|
|
Last updated on
07 November 2024 |