Scottish Autonomous Networked Systems - Part II (SANS 2024)

2-3rd May 2024

Advanced Research Center, University of Glasgow, UK

About

The Scottish Autonomous Networked Systems (SANS) event brings together researchers from different areas to share ideas and learn about ongoing work in relation to autonomous networked systems.

If you would like to participate or share your work relating to autonomous networked systems, go here.

This version of SANS is sponsored by SICSA.

SICSA Logo

Important Dates

Thursday 2nd May and Friday 3rd May 2024

Topics

The Scottish Autonomous Networked Systems (SANS) event is an opportunity to bring together researchers from different areas to share ideas and learn about ongoing work in relation to autonomous networked systems.

If you would like to share your work relating to autonomous networked systems, we are looking for short form presentations. The goal is information sharing and communitiy awareness!

Topic of relevance can include:

Applying novel AI & ML techniques in an innovative manner to create evolvable and autonomous compute and network infrastructure.
Repurposing robotic operation techniques to distributed and federated software control to achieve runtime operational assurance.
Investigating new programming interactions between user, system, and network to achieve trust for autonomous operation.
The use of formal methods to help achieve trustworthy operation in the face of dynamic and adaptable operational environments.
Or more….

Program

If you want to participate in SANS 2024, please register here!

(more info about the venue here)

Schedule

Day 1: Thursday 2nd May 2024

Time	Title	Details	Presentation
09.30-10.00	Registration
10.00-10.15	Welcome
10.15-11.00	Keynote Academic + Q&A	How to build a Network Digital Twin? Simulation vs Emulation vs ML	here
11.00-11.30	Coffee Break
11.30-12.30	Session 1	Short Talks
	Morgan Geldenhuys	Automatic System Tuning for Distributed Stream Processing	here
	Colin Perkins	Autonomous networks need standards	here
	Gyu Myoung Lee	Co-creation of composable network digital twins for autonomous control and management	here
12.30-14.00	Lunch
14.30-15.30	Session 2	Short Talks
	Theviyanthan Krishnamohan	OpenRASE: Virtualisaed Network Emmulation	here
	Marc Roper	Digital Digital Twins	here
	Shuja Ansari	Leveraging AI for digital twinning of wireless networks
	Kelsey Collington	Informing, instructing, or ignoring: challenges and considerations for autonomy in CNI.	here
15.30-16.00	Coffee Break
16.00-17.00	Session 3	Poster Session
17.00-18.30	Free Time
18.30-20.00	Social Event!	Barolo - https://maps.app.goo.gl/S34c1bKMW2Xux6vW9

Day 2: Friday 3rd May 2024

Time	Title	Details	Presentation
09.30-10.00	Registration
10.00-10.15	Welcome
10.15-11.00	Session 1
	Paulius Stankaitis	Navigating Uncertainty: Reachability Analysis for Trustworthy Autonomous Systems
	Shailendra Rathore	Leveraging Machine Learning with Blockchain for Next-Generation IoT
	Joanna Olszewska	Trustworthy Autonomous System Development: Beyond DevOps and MLOps
11.00-11.30	Coffee Break
11.30-12.30	Session 2	Short Talks
	Ben Scott	Funding Opportunities	here
	Philip Rodgers	Autonomous ORAN	here
	Ryo Yanagida	QoS In Information Centric Networks	here
12.30-14.00	Lunch
14.30-15.30	Session 3	Panel Discussion
15.30-16.00	Coffee Break
16.00-17.00	Session 4	Short Talks
	Yehia Elkhatib	A Middleware for Automatic Composition and Mediation in IoT Systems	here
	Paul Harvey	A Standard Design Language for Autonomous Networks	here
17.00-17.15	Closing

Keynote

Prof Albert Cabellos-Aparicio, UPC

Prof Albert Cabellos-Aparicio

Prof. Albert Cabellos (PhD 2008), Full Professor at Universitat Politècnica de Catalunya. In 2019 he co-founded the Barcelona Neural Networking (BNN) Center (https://bnn.upc.edu) where he is the Director. BNN’s has been created with the main goals of carrying fundamental research in the field of Graph Neural Network applied to Computer Networks and educating and training the new generation of students. He has also founded the Open Overlay Router open-source initiative (http://openorverlayrouter.org) along with Cisco. He has been a visiting researcher at Cisco Systems and Agilent Technologies and a visiting professor at the Royal Institute of Technology (KTH) and the Massachusetts Institute of Technology (MIT), National Institute of Informatics (Tokyo) and UC Berkeley. He has participated in several national, EU (FP7, H2020), USA (NSF) and industrial R&D projects.

Abstract

Network Digital Twins (NDT) are a key technology for future telecommunication networks. As exemplifying features, NDT are expected to estimate future traffic load and automatically optimize the network to use minimal resources while fulfilling stringent SLAs. NDT should also be able to predict failures before happening, and take the appropriate actions. Overall, NDT offers unprecedented performance with ultra-efficient use of the hardware resources, resulting in very low CAPEX and OPEX. However, there is a certain lack of specificity in the literature that describes how to build it. In this talk we will describe how we can build a NDT and we will compare different technologies: simulation, emulation and ML techniques as well as the advantages and disadvantages that they provide.