*** NEW DEADLINE: March 17, 2024 ***
====================
Special Track on Organic Computing
at the 37th GI / ITG International Conference on Architecture of Computing
Systems (ARCS 2024) Potsdam, Germany, May 14-16, 2024
<https://arcs-conference.org/organic-computing>
https://arcs-conference.org/organic-computing
====================
# Aims and Scope
Organic Computing postulates to equip technical systems with `lifelike
properties. Technically, this means to move traditional design-time
decisions to runtime and into the responsibility of systems themselves. As a
result, systems have a dramatically increased decision freedom that leads to
highly autonomous behaviour. The goal of this process is to allow for
self-adaptation and self-improvement of system behaviour at runtime.
Especially since conditions that occur at runtime can only be anticipated to
a certain degree, efficient mechanisms are needed that guide the systems
behaviour even in cases of missing knowledge or uncertain environmental
states. Consequently, the research field of Organic Computing investigates
fundamental principles, discusses essential aspects and researches novel
methods that are needed to finally build self-adaptive and self-organising
systems that are capable of reliable operation in complex real-world
environments.
The ARCS conferences series has over 35 years of tradition reporting leading
edge research in computer architecture and operating systems. The focus of
the 2024 conference will be on challenges for sustaib´nabilty in
high-performance computing and their impact on the whole system stack
spanning from hardware layer to the software layer. Within the scope of the
ARCS main conference, the special track on `Organic Computing focusses on
developments and open challenges in the field of self-adaptive and
self-organising systems embedded in real-world environments.
Contributions will be part of the conference proceedings. The proceedings of
ARCS 2024 are planned to be published in the Springer Lecture Notes on
Computer Science (LNCS) series. The conference will be a physical meeting
with a social program in Potsdam, Germany. To ensure a safest possible
meeting for all participants, the organisation committee of ARCS will
monitor the Corona situation closely and will take all necessary protection
steps following government guidelines as well as extra measures as needed.
# Topics of interest
... are on a wide range of aspects of Organic Computing, including (but
not limited to):
A: Principles of OC Systems
* System and Agent Architectures
* Systems Engineering
* Design Techniques and Processes
* Nature-Inspiration to Deal with System Complexity
* Self-x Properties and Lifelike Qualities
* Self-Organisation Schemes for Highly Decentralised Systems
B: Autonomous Learning Behaviour in Technical Systems
* Reinforcement Learning from Interaction
* Active Learning
* Transfer Learning
* Online Concept Drift/Shift and Novelty/Obsoleteness Detection
* Transductive Inference for Efficient Model Building
* Self-Awareness and Self-Reflection
C: Self-Adaptation@Runtime
* Adaptive Monitoring and Control
* Mechanisms to deal with Continual Change
* Robustness and Flexibility
* Automated Algorithm (Re-)Configuration & Selection
* Context-awareness and Transient Interfaces
D: Metrics and Quantification
* System Validation
* Verification
* Understanding and Explanation
* Computational Trust
* Testbeds and Performance Analysis
E: Hardware Solutions
* Adaptive Hardware
* Reconfigurable Hardware
* Embedded AI
* Self-Adaptive, Self-Optimising, Self-Healing Hardware
* Evolvable Hardware
* Prototypes and Demonstrators
F: Applications of OC Technology
* Novel Use Cases
* Case Study Reports
* Experience Reports
# Important Dates
Paper submission deadline: February 29, 2024 March 7, 2024 March
17, 2024 (extended)
Notification of acceptance: March 28, 2024
Camera-ready papers: May 2, 2024
Conference: May 14 16, 2024
# Organisation of the special track
* Anthony Stein (University of Hohenheim)
* Sven Tomforde (Christian-Albrechts-Universität zu Kiel)
* Stefan Wildermann (Friedrich-Alexander-Universität Erlangen-Nürnberg)