CfP: Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SASO2015)

The Third International Workshop on “Self-optimisation in Organic and Autonomic Computing Systems” SAOS 2015

to be held at ARCS 2015 – Architecture of Computing Systems

March 24th – 27th 2015
Porto, Portugal
http://www.informatik.uni-augsburg.de/lehrstuehle/oc/Veranstaltungen/oc-ws-arcs15/

*** Important dates ***
=======================
Submission deadline: December 1st, 2014
Notification of acceptance: January 16th, 2015
Camera-ready: Fabruary 16th, 2015

*** Workshop theme ***
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Initiatives like Autonomic Computing (AC) and Organic Computing (OC) are based on the insight that we are increasingly surrounded by large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform the required actions and services. The presence of networks of intelligent systems in our environment opens fascinating application areas but, at the same time, bears the problem of their controllability.

Hence, different design concepts (like the MAPE cycle and the Observer/Controller framework) have been developed to allow for a self-organised control process at runtime that relieves the designer from specifying all possibly occurring situations and configurations within the design process. Instead, the system itself takes over responsibility to find proper reactions on perceived changes in the environmental conditions. As designers are not able to foresee all possibly occurring situations and circumstances the system will face during its operation time the self-organisation process of the system will focus on self-optimising the system’s behaviour. Such self-optimising behaviour can be achieved at various levels of the system’s design, ranging from basic control architectures over self-organised coordination or collaboration methods and domain-specific optimisation techniques to the application and customisation of machine learning algorithms. Furthermore, several related topics (e.g. trust and security in collaborative systems) provide necessary functionality to enable self-optimising behaviour in AC and OC systems.

A special session will further address challenges caused by so-called Interwoven Systems (IwS). This means: We invite contributions discussing concepts to achieve controllability and manageability of connected or coupled systems that were initially not meant to interact with each other. A key contribution towards a better control of IwS is a qualified support of self-integration in IwS elements. In order to make this challenge more accessible, effort can be subdivided into six distinct areas: Due to changes in the overall IwS, e.g., new elements, the overall system architecture (element structure, communication structure, algorithms, parameters, etc.) cannot be predetermined at design-time. Basis for a resulting self-integration process is, first, the ability of elements for online dependency detection and modelling and, second the ability for online goal adaptation. Then, techniques for a continuous re-design for self-integration, i.e., an adaptation of various aspects of an IwS system architecture can be established. These self-integration processes must be complemented by techniques for a long-term self-improvement, i.e., self-inspection and long-term self-adaptation. As IwS are open, vulnerable systems, we need techniques to model and consider trust, reputation, and security mechanisms. Methods for a theoretical analysis of self-integration processes at different levels will be crucial for a better understanding of IwS at design-time and to provide necessary information about the IwS at runtime.

* Part A: Architectural concepts for self-optimising behaviour *
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o Observer/Controller architectures
o Autonomic concepts
o Artificial Hormone Systems
o Collaborative optimisation architectures

* Part B: Algorithms and methods for self-optimisation *
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o Applications of machine learning techniques to real-world problems
o Customisation of machine learning
o Fitness landscape characterisation
o Performance issues in online optimisation
o Programming environments
o Online and Runtime Optimisation techniques

* Part C: Applications for self-optimisation *
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o Applications with self-optimising system behaviour, i.e. from the following domains:
o Robotics
o Energy
o Traffic
o Smart homes
o Communication
o Sensor/Actuator networks

* Part D: Interwoven Systems & Self-Integration *
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o Online dependency detection and modelling
o Online goal adaptation
o Continuous re-design for self-integration
o Long-term self-improvement and self-inspection
o Trust, reputation, and security mechanisms
o Theoretical analysis of self-integration processes

*** Workshop details ***
=========================
The Workshop will be held from March 24th to 27nd in conjunction with the 28th International Conference on Architecture of Computing Systems (ARCS 2015) in Porto, Portugal. The conference’s web page is available at: http://www.cister.isep.ipp.pt/arcs2015/

*** Submission Information ***
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Paper submission deadline: December 1st, 2014
Notification of acceptance: January 16th, 2015

Papers should not exceed 8 pages and be formatted according to IEEE eXpress “conference mode”.

Formatting instructions are available at:

http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Paper submission will be handled via the workshop’s EasyChair installation:

https://www.easychair.org/conferences/?conf=saos15

ARCS 2015 Workshop Proceedings will be published through VDE Verlag on CD and online by the IEEE Computer Society through the IEEE Xplore Digital Library.

*** Workshop organisation ***
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Jörg Hähner, Universität Augsburg (DE)
Gregor Schiele, DERI Galway (IE)
Ingo Scholtes, ETH Zürich (CH)
Sven Tomforde, Universität Augsburg (DE)
Arno Wacker, Universität Kassel (DE)

*** Partial list of program committee ***
=========================================
Jacob Beal, BBN Technologies, USA
Kirstie Bellman, The Aerospace Company
Jean Botev, Universität Luxembourg, Luxembourg
Uwe Brinkschulte, Universität Frankfurt, Germany
Frank Dürr, Universität Stuttgart, Germany
Jörg Hähner, Universität Augsburg, Germany
Paul Kaufmann, Universität Paderborn Germany
Abdelmajid Khelil, Huawei Technologies GmbH, Germany
Chris Landauer, The Aerospace Company
Erik Maehle, Universität Lübeck, Germany
Bivas Mitra, Indian Institute of Technology Kharagpur, India
Gero Mühl, Universität Rostock, Germany
Christian Müller-Schloer, Leibniz Universität Hannover, Germany
Wolfgang Reif, Universität Augsburg, Germany
Christian Renner, Universität Lübeck, Germany
Gregor Schiele, DERI Galway, Ireland
Ingo Scholtes, ETH Zürich, Switzerland
Hella Seebach, Universität Augsburg, Germany
Jürgen Teich, Universität Nürnberg-Erlangen, Germany
Matthias Tichy, Chalmers Technical University and University of Gothenburg, Sweden
Sven Tomforde, Universität Augsburg, Germany
Theo Ungerer, Universität Augsburg, Germany
Arno Wacker, Universität Kassel, Germany
Torben Weis, Universität Duisburg-Essen, Germany
Stefan Wildermann, Universität Nürnberg-Erlangen, Germany
Rolf Würtz, Ruhr-Universität Bochum, Germany