[hpc-announce] CfP AI4AS (co-located with ACSOS 2023): deadline extended to July 10th

Valeria Cardellini cardellini at ing.uniroma2.it
Thu Jul 6 07:03:34 CDT 2023

 AI4AS 2023: First International Workshop on 
 Artificial Intelligence for Autonomous computing Systems
 Web: https://ai4as.github.io
 September 25-29, 2023 - Toronto, Canada
 co-located with ACSOS 2023 (https://2023.acsos.org)


Manuscript submission:    July 10, 2023 (AoE) (firm deadline)
Notification to authors:  July 30, 2023                 
Camera-ready:             August 5, 2023 
Workshop:                 September 25 or 29, 2023

Modern computing systems are large and heterogeneous. Their complexity is hardly
manageable by a human being, especially when it comes to taking timely decisions
in highly dynamic environments or to guarantee strict Quality-of-Service
requirements. Not surprisingly, recent advancements in Artificial Intelligence
(AI) and Machine Learning (ML) significantly impacted and fostered the
development of autonomous computing systems, providing new or enhanced
methodologies to cope with system complexity and uncertainty. AI and ML
techniques are increasingly adopted to assist or guide system self-adaptation,
as they are used, e.g., to extract relevant information from highly dimensional
and noisy monitoring data, to predict internal or external dynamics, to
automatically plan adaptation actions.

However, there are still several challenges to face for researchers and
practitioners aiming to take advantage of these methodologies and incorporate
them in their systems. Fundamental issues towards the applicability of AI and ML
techniques across diverse domains must be investigated, especially as regards
the accuracy, robustness, explainability, safety, security, performance and
sustainability of AI-driven autonomous computing systems.

In this workshop, we solicit high quality contributions that fit with the
overarching theme of AI and ML meeting autonomous computing systems.

We invite submissions of original research papers, as well as vision papers and
experience reports.
The aim of the workshop is to share new findings, exchange ideas and discuss
research challenges on the following topics (not an exhaustive list):

 - AI and ML techniques for self-* computing systems
 - Architectures and frameworks for AI integration
 - Sustainability aspects of AI-driven adaptation
 - Federated and multi-agent learning approaches for decentralized adaptation
 - Robustness, explainability, safety, and security of AI-driven computing
 - Case studies and real-world implementations of AI for autonomous computing

Papers can be submitted in PDF format via EasyChair and must be no longer 
than *6 pages* (including figures, tables, and references).
Accepted papers will be published in the ACSOS Companion volume and will appear
in IEEE Xplore.
Note: when submitting via EasyChair, make sure that the track indicated as
Workshop on Artificial Intelligence for Autonomous computing Systems is

EasyChair link: https://easychair.org/conferences/submission_new?a=30765499

Workshop co-chairs
     - Gabriele Russo Russo, University of Rome Tor Vergata, Italy
     - Valeria Cardellini, University of Rome Tor Vergata, Italy
     - Stefano Iannucci, Roma Tre University, Italy

Technical program committee
     - Sherif Abdelwahed, Virginia Commonwealth University, USA
     - Danilo Ardagna, Politecnico di Milano, Italy
     - Giuliano Casale, Imperial College London, UK
     - Emiliano Casalicchio, Sapienza University of Rome, Italy
     - Janick Edinger, University of Hamburg, Germany
     - Omid Gheibi, KU Leuven, Belgium
     - Nagarajan Kandasamy, Drexel University, USA
     - Raffaela Mirandola, Politecnico di Milano, Italy
     - Alexandre da Silva Veith, Nokia Bell Labs, Belgium

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