[ecoop-info] 2nd CfP: 13th IEEE International Conference on Autonomic Computing (ICAC 2016)

Giacomo Cabri giacomo.cabri at unimore.it
Wed Nov 4 14:00:32 CET 2015

ICAC 2016 2nd Call-for-Papers

13th IEEE International Conference on Autonomic Computing (ICAC 2016)
Wuerzburg, Germany, July 19-22, 2016

In cooperation with USENIX and SPEC

SAP, Huawei, Hewlett Packard Enterprise, Google, Microsoft

* 4th International Workshop on Self-aware Internet of Things (Self-IoT)
* 2nd Workshop on Distributed Adaptive Systems
* 3rd Workshop on Self-Improving System Integration (SISSY)
* 11th International Workshop onModels at run.time
* 11th International Workshop on Feedback Computing


Abstract Submission:            January 14, 2016
Paper Submission:             January 21, 2016
Author Notification:         April 15, 2016
Final Manuscript:           May 1, 2016
Conference:                  July 19-22, 2016

Poster/Demo Proposals Due:              March 30, 2016
Workshop Proposals:            November 6, 2015
Doctoral Symposium Submissions:    January 31, 2016


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 
     control for software, self-awareness and self-expression
   - Algorithms, such as AI, machine learning, control theory, operations
     research, probability and stochastic processes, queueing theory, 
     systems, biological-inspired techniques, and socially-inspired 
   - 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 
     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 
     governed behavior, online self-integration for trustworthy 
     and organic systems
   - Infrastructures and architectures for self-organizing systems and 
     computing systems
   - Applications and case studies for self-organization and organic 

* Emerging Computing Paradigms: Cognitive Computing, Self-Aware Computing
   - Advanced learning for cognitive computing such as meta-cognitive 
     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 
   - 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 
     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

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 an ICAC 2016 SPECIAL ISSUE after the conference.



General Chairs
     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

       Tarek Abdelzaher, University of Illinois at Urbana-Champaign, USA
     Artur Andrzejak, Heidelberg University, Germany
     Luciano Baresi, DEIB – Politecnico di Milano, Italy
     Jacob Beal, BBN Technologies, USA
     Christian Becker, University of Mannheim, Germany
     Kirstie Bellman, The Aerospace Corporation, USA
     Nelly Bencomo, Aston University, UK
     Giacomo Cabri, Universita di Modena e Reggio Emilia, Italy
     Lydia Chen, IBM Zurich, Switzerland
     Lucy Cherkasova, HP Labs, USA
     Elisabetta Di Nitto, Politecnico di Milano, Italy
     Ada Diaconesco, Telecom ParisTech, France
     Schahram Dustdar, TU Wien, Austria
     Lukas Esterle, Universitaet Klagenfurt, Austria
     Kurt Geihs, Universitaet Kassel, Germany
     Rean Griffith, VMWare, USA
     Yuan He, Tsinghua University, China
     Jeff Kephart, IBM T.J. Watson Research Center, USA
     Xenofon Koutsoukos, Vanderbilt University, USA
     Michael Kozuch, Intel, USA
     Philippe Lalanda, University of Grenoble, France
     Peter Lewis, Aston University, UK
     Xiaolin Li, University of Florida, USA
     Marin Litoiu, York University, Canada
     Xue Liu, McGill University, Canada
     Chenyang Lu, Washington University at St. Louis, USA
     Ying Lu, University of Nebraska – Lincoln, USA
     Martina Maggio, Lund University, Sweden
     Sam Malek, George Mason University, USA
     Julie McCann, Imperial College London, UK
     Arif Merchant, Google, USA
     Christian Müller-Schloer, Leibniz Universitaet Hannover, Germany
     Hausi A. Müller, University of Victoria, Canada
     Miroslav Pajic, Duke University, USA
     Gian Pietro Picco, University of Trento, Italy
     Dario Pompili, Rutgers University, USA
     Eric Rutten, NRIA Grenoble Rhône-Alpes, France
     Hartmut Schmeck, Karlsruhe Institute of Technology, Germany
     Onn Shehory, IBM Research Haifa, Israel
     Mike Smit, Dalhousie University, Canada
     Christopher Stewart, Ohio State University, USA
     Ladan Tahvildar, Waterloo University, Canada
     Sven Tomforde, Universitaet Augsburg, Germany
     Bhuvan Urgaonkar, Penn State, USA
     Di Wang, Microsoft Research, USA
     Danny Weyns, Linnaeus University, Sweden
     Zheng Zhang, Rutgers University, USA
     Xiaoyun Zhu, Futurewei Technologies, USA


| Prof. Giacomo Cabri - Ph.D., Associate Professor
| Dip. di Scienze Fisiche, Informatiche e Matematiche
| Universita' di Modena e Reggio Emilia - Italia
| e-mail giacomo.cabri at unimore.it
| tel. +39-059-2058320  fax +39-059-2055216

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