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TREVISAN MARTINO <[log in to unmask]>
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TREVISAN MARTINO <[log in to unmask]>
Sun, 18 Jul 2021 09:51:56 +0000
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[Apologies if you receive multiple copies of this CFP]

WAIN 2021 - 3rd International Workshop on AI in Networks and Distributed Systems
November 8-12, 2021 - Politecnico di Milano (Milan, Italy) and online, to be held with IFIP WG 7.3 PERFORMANCE 2021

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 are 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, 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 innovative 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: September, 2nd (Anywhere on Earth)
Notification of acceptance: October, 7th
Camera ready deadline: October, 22nd
Workshop presentation: November 8th - 12th, 2021

Submission Guidelines:
Papers will be published at ACM SIGMETRICS Performance Evaluation Review (PER,
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), maximum 5 pages + references.
The submission page is available at

Luca Vassio, Politecnico di Torino, Italy
Danilo Giordano, Politecnico di Torino, Italy
Jinoh Kim, Texas A&M University-Commerce, US
Jon Crowcroft, University of Cambridge, UK

Martino Trevisan - PhD
Assistant Professor
Department of Electronics and Telecommunications (DET)
Politecnico di Torino - Corso Duca degli Abruzzi, 24 - Italy
Mail: [log in to unmask]<mailto:[log in to unmask]> <mailto:[log in to unmask]>
Tel. +39 011 090 3901

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