ICAC 2016 - 13th IEEE International Conference on Autonomic Computing

ICAC is the leading conference on autonomic computing, its foundations, principles, engineering, technologies, and applications. Nowadays, complex systems of all types, like large-scale data centers, cloud computing infrastructures, cyber-physical systems, the internet of things, and similar, are increasingly complex, involving many active, interconnected components requiring careful coordination. Being impossible for a human to manage such systems, the autonomic computing paradigm with its support for self-management capabilities becomes increasingly indispensable for the components of our IT world.
The conference seeks latest research advances on science and engineering concerning all aspects of autonomic computing, including but not limited to the following main research topics:
* Foundations
- Fundamental science and theory of autonomic computing systems and feedback
control for software, self-awareness and self-expression
- Algorithms, such as AI, machine learning, control theory, operations
research, probability and stochastic processes, queueing theory, rule-based
systems, biological-inspired techniques, and socially-inspired techniques
- Formal models and analysis of self-management, emergent behavior,
uncertainty, self-organization, self-awareness, trustworthiness
* Resource Management in Data Centers
- Hypervisors, operating systems, middleware, and platforms for self-managing
data centers and cloud infrastructures
- Sensing, energy efficiency, and resource adaptation
- Autonomic components, such as multi-core servers, storage, networking, and
hardware accelerators
- Applications and case studies of end-to-end design and implementation of
systems for resource management
* Cyber-Physical Systems (CPS) and Internet of Things (IoT)
- System architectures OS, services, middleware, and protocols for CPS and IoT
- Energy, real-time, and mobility management
- Design principles, methodologies, and tools for CPS and IoT
- Self-organization under severe resource constraints
- Applications and case studies of autonomic CPS and IoT
* Self-Organization and Organic Computing
- Self-organization principles and organic computing principles borrowed from
systems theory, control theory, game theory, decision theory, social
theories, biological theories, etc.
- Self-organization, emergent behavior, decentralized control, individual and
social/organizational learning, scalability, robustness, goal- and norm-
governed behavior, online self-integration for trustworthy self-organizing
and organic systems
- Infrastructures and architectures for self-organizing systems and organic
computing systems
- Applications and case studies for self-organization and organic computing
* Emerging Computing Paradigms: Cognitive Computing, Self-Aware Computing
- Advanced learning for cognitive computing such as meta-cognitive learning,
self-regulatory learning, consciousness and cognition in learning,
collaborative / competitive learning, and online / sequential learning
- Architectures, control, algorithmic approaches, instrumentation, and
infrastructure for cognitive computing and self-aware systems
- Cognitive computing and self-awareness in heterogeneous and decentralized
systems
- Applications and case studies for social networks, big data systems, deep
learning systems, games, and artificial assistants, cognitive robots, and
systems with self-awareness and self-expression
* Software Engineering for Autonomic Computing Systems: Architecture,
Specifications, Assurances
- Design methodology, frameworks, principles, infrastructures, and tools for
development and assurances for autonomic computing systems
- System architectures, services, components and platforms broadly applicable
for autonomic computing system engineering
- Goal specification and policies, modeling of service-level agreements,
behavior enforcement, IT governance, and business-driven IT management
- Applications and case studies for software engineering approaches for
autonomic computing systems
In addition to fundamental results ICAC is also interested in applications and experiences with prototyped or deployed systems solving real-world problems in science, engineering, business, or society. Typical application areas for ICAC are autonomous robotics, cloud computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, smart user interfaces, space applications, and traffic management.
This year a doctoral symposium will be organized as part of ICAC. For more information see
http://icac2016.uni-wuerzburg.de/calls/doctoral-sy...
All papers must represent original and unpublished work that is not currently under review. Submissions are required to mark at least one topic area. Papers will be reviewed by at least three PC members including at least two having specific domain expertise concerning the indicated main research topics and judged on originality, significance, interest, correctness, clarity, and relevance to the broader community. At least one author of each accepted paper is expected to attend the conference.
Papers can be submitted in one of the following three categories with different acceptance criteria for each category:
* Full research papers limited to 10 pages (double column, IEEE format)
* Experience papers limited to 8 pages (double column, IEEE format)
* Short papers limited to 6 pages (double column, IEEE format)
Full and experience research papers are strongly encouraged to report on experiences, measurements, user studies, and provide an appropriate quantitative evaluation if at all possible. Short papers can either be work in progress, or position and challenge papers that motivate the community to address new challenges. See the conference website for format instructions. Papers must be submitted electronically in PDF format through the ICAC’2016 submission site.
There will be a BEST PAPER AWARD for the full research paper category and it is panned that a selection of the best papers of the full research paper category will be invited to submit an extended version of their contribution for a ICAC 2016 SPECIAL ISSUE after the conference.
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ORGANIZATION
General Chair
Samuel Kounev, University of Wuerzburg, Germany
Program Committee Co-Chairs
Holger Giese, Hasso Plattner Institute, Germany
Jie Liu, Microsoft Research, Redmond, USA
Workshop Chair
Lydia Chen, IBM Zurich, Switzerland
Publicity Co-Chairs
Giacomo Cabri, Universita di Modena e Reggio Emilia, Italy
Javier Camara, Carnegie Mellon University, Pittsburgh, USA
Nikolas Herbst, University of Wuerzburg, Germany
Jianguo Yao, Shanghai Jiao Tong University, China
Finance Chair
Philippe Lalanda, University of Grenoble, France
Proceedings Chair
Daniel Gmach, HP Labs, USA
Poster and Demo Chair
Stephanie Chollet, Grenoble INP Esisar/LCIS, France
Local Arrangements and Web Chair
Lukas Ifflaender, University of Wuerzburg, Germany
Doctoral Symposium Chair
Christian Becker, University of Mannheim, Germany
Evgenia Smirni, College of William and Mary, USA
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PROGRAM COMMITTEE
http://icac2016.uni-wuerzburg.de/committees/progra...