[hpc-announce] ACSOS 2023: Call for Workshop Contributions

Thu May 25 10:00:54 CDT 2023

*** ACSOS 2023 - Call for Workshop Contributions **

4th IEEE International Conference on
Autonomic Computing and Self-Organizing Systems

25-29 September 2023 - Toronto, Canada

https://2023.acsos.org/
https://twitter.com/ACSOSconf

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The world is increasingly embracing autonomous systems: in robotics,
manufacturing, software engineering, vehicles, data center systems,
and precision agriculture to name just a few areas. These systems are
bringing autonomy to a whole new level of dynamic decision-making
under uncertainty, requiring autonomic behavior (e.g., control theory,
cybernetics) and self-reference, leading to a range of self-*
properties (e.g., self-awareness, self-adaptation, self-organization),
and an approach in which system implementation and its environment are
holistically considered.

Despite this rise in autonomic and self-* systems, there remains a
wide range of fundamental challenges in understanding how to design,
control, reason about, and trust such systems. The IEEE ACSOS
conference solicits novel research on these topics, in fundamentals
and methods as well as applications for autonomic and self-* systems.

ACSOS is particularly proud of its long-standing academic breadth and
innovative industry contributions, and regularly features work from
computational biologists through to operating systems researchers -
united by the common theme of autonomous systems. Now in its 4th
edition, ACSOS was founded in 2020 as a merger of the IEEE
International Conference on Autonomic Computing (ICAC) and the IEEE
International Conference on Self-Adaptive and Self-Organizing Systems
(SASO).

ACSOS is now soliciting submissions to its accepted workshops:

* AI4AS - 1st International Workshop on Artificial Intelligence for
   Autonomous computing Systems
   * submission:         June 21, 2023
   * notification:       July 25, 2023

* ASMECC - 1st Workshop on Autonomic and Self-* Management for the
   Edge-Cloud Continuum
   * abstract:           July 1, 2023
   * submission:         July 10, 2023
   * notification:       July 31, 2023

* MRT - 16th International Workshop on Models at run.time: in the Era of
   Emerging Computing Paradigms
   * submission:         July 09, 2023
   * notification:       July 23, 2023

* SISSY - 10th Workshop on Self-Improving Systems Integration
   * submission:         June 20, 2023
   * notification:       July 18, 2023

* SaSSO - 1st International Workshop on Sustainable and Scalable
   Self-Organisation
   * submission:         June 23, 2023
   * notification:       July 15, 2023

Workshop descriptions and website links with further details are
listed below. The ACSOS community looks forward to your submissions!

*** 1st International Workshop on Artificial Intelligence for Autonomous
     computing Systems (AI4AS) ***

Modern computing systems are large and heterogeneous. Their complexity
is hardly manageable by a human being, especially when it comes to
take 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.

Workshop website: https://ai4as.github.io

*** 1st Workshop on Autonomic and Self-* Management for the Edge-Cloud
     Continuum (ASMECC) ***

The edge-cloud computing continuum is a paradigm enabling
distributed/pervasive computing and networking to support a variety of
novel ICT-based applications and services. It represents a deployment
target and a management plane for the software elements (components,
microservices, functions) making up modern distributed applications.
The heterogeneity, pervasiveness, dynamism, and interplay with
applications, that characterise the cloud-edge continuum provide
significant opportunities and challenges, in terms of operational
flexibility and efficiency. A major challenge lies in supporting the
automatic management of applications while respecting and
opportunistically optimising against the set of constraints,
requirements, and preferences indicated by applications, users,
owners, and providers. Edge-cloud continua have to become intelligent,
embedding cognitive-like capabilities for monitoring, reasoning,
planning, and acting on infrastructures and applications.

A number of specific issues arise, requiring novel ideas and
techniques to be developed. For instance, how can MAPE-K architectures
be adapted to work on the edge-cloud continuum? How may learning be
exploited to refine dynamic deployment policies or anticipate changes?
How can the learned models be explained? What programming models can
be used to adequately express application logic independently of its
deployment across the continuum? What formal specification languages
can support architectural descriptions while enabling analysis of
properties of interest? How can the infrastructure
vertically/horizontally self-organise into resilient structures
supporting connectivity and distributed task allocation? How to
promote sustainability, energy/resource-efficiency and
carbon-awareness across the edge-cloud continuum?

Workshop website: https://asmecc-workshop.github.io/2023/

*** 16th International Workshop on Models at run.time: in the Era of
     Emerging Computing Paradigms ***

The vision of eternal software systems, which are meant to run
forever, raises the need for self-adaptation techniques, to adjust the
running system to its changing environment while meeting their goals
and requirements uninterruptedly. In other words, software is required
(i) to reflect on itself and its environment and (ii) to therefore,
adjust itself accordingly.

To enable these features, systems need to keep the appropriate
information and offer systematic ways for processing it. The
models at run.time paradigm proposes to use modeling techniques to
capture and process this information using run-time models, i.e.,
models representing a view on the current state of the system. By
this, models at runtime is an enabler of current and future software
systems, having the property of being self-adaptive or
self-organizing, in different domains such as cyber-physical systems,
cloud computing and big data, to name but a few.

Models at run.time bridges the gap between research on reflection and
adjustment of systems at runtime with research on model-driven
software development, which traditionally focused on the design phase
of software systems. On the one hand, the model-driven software
development community provides a variety of approaches to support or
enable the construction and operation of systems reflecting upon
themselves using a mixture of runtime and design time models. On the
other hand, the application of modeling techniques at runtime poses
new challenges for the model-driven software development community.
For example, the question of how much time is available for a model
transformation, which is meant to optimize the system's performance.

Workshop website: http://st.inf.tu-dresden.de/MRT23/

*** 1st International Workshop on Sustainable and Scalable
     Self-Organisation (SaSSO) ***

The goal of this inter-disciplinary workshop is to address two
contrasting pairs of inter-related research questions. Firstly, the
sustainability of self-organisation, given the features of path
dependency (where prior decisions significantly constrain present
choices); the iron law of oligarchy which identifies the tendency of
self-organisation to slide into oligarchy; and the avoidance of
tyranny at the core of Ober's Basic Democracy.

Secondly, and conversely, self-organisation for sustainability,
building on the pioneering work of Ostrom's self-governing
institutions for common-pool resource management, but also considering
self-sustainability, e.g. in the form of cooperative survival
dilemmas.

Thirdly, scalability of self-organisation, for example as the number
of components in a system changes over time, how are structures and
processes for decision-making, dispute resolution and monitoring
affected by such changes, even with new 'generations'; and fourthly,
and conversely, self-organisation for scalability, both for pro-active
management of anticipated growth or contraction, but also how the
values or incentives implied by self-organised rules change over time
(the rule-based equivalent of concept drift).

Workshop website: https://amertzani.github.io

*** 10th Workshop on Self-Improving Systems Integration (SISSY) ***

Information and communication technology (ICT) pervades every aspect
of our daily lives. This inclusion changes our communities and all of
our human interactions. It also presents a significant set of
challenges in correctly designing and integrating our resulting
technical systems. For instance, the embedding of ICT functionality in
more and more devices (such as household appliances or thermostats)
leads to novel interconnections and a changing structure of the
overall system. Not only are technical systems increasingly coupled,
but also numerous previously isolated natural and human systems have
merged into a kind of overall system-of-systems - an interwoven system
structure.

This change of structure is fundamental and affects the whole
production cycle of technical systems; standard system integration and
testing is not feasible any more. The increasingly complex challenges
of developing the right type of modelling, analysis, and
infrastructure for designing and maintaining ICT infrastructures has
continued to motivate the self-organising, autonomic and organic
computing systems community.

Integration is more than just putting things together. Consequently,
this workshop intends to study novel approaches to system-of-systems
integration, maintenance and testing by applying self-* principles.
Specifically, we seek approaches that allow for a continual process of
self-integration among components and systems that are self-improving
and evolving over time towards an optimised and stable solution.

Workshop website: https://sissy.telecom-paristech.fr/