Moodle has been updated with recent lessons. It now includes Slides and Video Recording, soon I will also upload an example of Vector Clocks usage in a distributed application. Do not hesitate to contact me if you need my support.

Lesson 5 slide just uploaded on the moodle. I'm on my way

slides and recordings of the last two lessons have been just uploaded to the moodle

Slides have just been uploaded in the moodle

not all the links concerning video recording are in place yet

Dear all, please refer to this: https://alboufficiale.unipi.it/blog/2024/11/25/pubblicazione-bando-bando-per-n-5-borse-di-ricerca-di-durata-pari-a-9-mesi-ciascuna-prot-3487-del-20112024-scadenza-09122024/

it is a set of scholarships that fund master students work in the area of sustainable software systems. Please let me know by email if you could be interested.

Dear all, I am pleased to inform you that now all the material is (or at least should be :) ) online.

Dear all, please let me remind you that tomorrow we will have our first guest lesson held by Dr. Emanuele Carlini from ISTI CNR

Dear all, let me remind you that today we are not having our lesson. The last lesson is likely to take place in one week from now given by our guests

Please let me remind you that today there is no lesson. The last one will be on Thursday with our last guest lecturer from TAI Software.

ready ? YOu should be in 50 minutes :)

By the way all the material produced so far is now available in the moodle

Dear all, finally we reached the end of our journey. I hope it has been interesting, in spite of being just at its first edition, with all the issues that this implies. Please remind to contact me for the final exam so that we can define and plan it. Looking forward to hearing news from you.

Here follow a few possible suggestions for survey papers:

1. WebAssembly for applications in the Cloud-Edge Continuum;

2. The role of CDN for live-video streaming;

3. Use of AI and ML techniques to steer urgency in systems and applications;

4. Distributed Machine Learning in the Computing Continuum;

5. Distributed Inference with Transformer Models;

6. DNN Partitioning and Assignment for Distributed Inference;

7. Performing Analytics on Serverless Platforms;

New suggestion for survey papers:
"Q-learning and Nesh Q-learning methods for application management in a Urgent Edge Computing scenario"

Finally, the elearning page of SDC 2025/26 is active

This morning I've uploaded on the moodle the first chapter of the course lecture note. Have a look at it!