WAIN – Workshop on AI in Networks and Distributed Systems

When:
2 November 2020 @ 16:01
2020-11-02T16:01:00-05:00
2020-11-02T16:16:00-05:00

WAIN – Workshop on AI in Networks and Distributed Systems

2nd November to 6th November 2020, Milan, Italy, to be held with IFIP Performance 2020

Website: https://www.performance2020.deib.polimi.it/?page_id=424

Thanks to rapid growth in network bandwidth and connectivity, networks and distributed systems have become critical infrastructures that underpin much of today’s Internet services. They provide services through the cloud, monitor reality with sensor networks of IoT devices, and offer huge computational power with data centers or edge and fog computing.
At the same time, AI and Machine Learning is being widely exploited in networking and distributed systems. Examples are algorithms and solutions for fault isolation, intrusion detection, event correlation, log analysis, capacity planning, resource management, scheduling, and design optimization, just to name a few. The scale and complexity of today’s networks and distributed systems make their design, analysis, optimization and management a daunting task. For this, smart and scalable approaches leveraging machine learning solutions must be deployed to take full advantage of these networks.
WAIN workshop aims at showing to the community new contributions in these fields. The workshop looks for smart approaches and use cases for understanding when and how to apply AI. WAIN will allow researchers and practitioners to share their experiences and ideas and discuss the open issues related to the application of machine learning to computer networks.

Topics of Interest:

The following is a non-exhaustive list of topics of interest for WAIN workshop:
Applications of ML in communication networks and distributed systems
Data analytics and mining in networking and distributed systems
Traffic monitoring through AI
AI applied to IoT and 5G
Application of reinforcement-learning
ML-based methodologies for anomaly detection and cybersecurity
Performance optimization through AI/ML and Big Data
Experiences and best-practices using machine learning in operational networks
Reproducibility of AI/ML in networking and distributed systems
Methodologies for performance evaluation of distributed infrastructure
Machine Learning application in cloud, edge, and fog computing
Performance evaluation of Content Delivery Networks
Application of AI/ML in sensor networks
AI/ML for data center management
AI/ML for cyber-physical systems
ML-driven resource management and scheduling
AI-driven fault tolerance in distributed systems

Important dates:

Submission deadline: August 22nd, 2020 (Anywhere on Earth)
Notification of acceptance: September 25th, 2020
Camera ready version deadline: October, 15th, 2020
Workshop presentation: November 2nd-6th,2020

Submission Guidelines:

Papers will be published at ACM SIGMETRICS Performance Evaluation Review (PER, https://www.sigmetrics.org/per.shtml, 3 to 4 pages long).
Submissions must be original, unpublished work, and not under consideration at another conference or journal. The format for the submissions is that of PER (two-column 10pt ACM format)), between 3 and 4 pages, including all figures, tables, references, and appendices. Papers must include authors names and affiliations for single-blind peer reviewing by the TPC. Authors of accepted papers are expected to present their papers at the workshop.
The submission page is available at https://easychair.org/conferences/?conf=wain2020.

Program Chairs:

Luca Vassio, Politecnico di Torino, Italy
Zhi-Li Zhang, University of Minnesota, USA
Danilo Giordano, Politecnico di Torino, Italy
Abhishek Chandra, University of Minnesota, USA