icac 2016: 13th IEEE International Conference on Autonomic Computing 2016

July 19, 2016-July 22, 2016 in Wuerzburg, Germany

About the Conference

ICAC 2016 CALL-FOR-PARTICIPATION http://icac2016.uni-wuerzburg.de/

13th IEEE International Conference on Autonomic Computing (ICAC 2016) Wuerzburg, Germany, July 18-22, 2016

In cooperation with USENIX, SPEC and VDE ITG


SAP, Huawei, Hewlett Packard Enterprise, Google, Microsoft, IBM



A preliminary version is available at http://icac2016.uni-wuerzburg.de/program/


  • Prof. Betty HC Cheng: Addressing Assurance for Self-Adaptive Systems in the Face of Uncertainty
  • Prof. Karl H. Johansson: Cyber-physical control of road freight transport
  • Dr. Yixin Diao: Building Autonomic Systems for IT Service Management
  • Prof. Klaus Schilling: ROSETTA: the challenge of escorting a comet and landing on its surface

Details can be found at http://icac2016.uni-wuerzburg.de/program/key-notes/


  • 2nd Workshop on Distributed Adaptive Systems (DAS 2016)
  • 3rd Workshop on Self-Improving System Integration (SISSY 2016)
  • 11th Workshop on Models@run.time (MRT 2016)
  • 11th Workshop on Feedback Computing (FC 2016)
  • 1st Workshop on Self Organizing Self Managing Clouds (SOSeMC 2016)
  • Annual Meeting of the SPEC RG DevOps Performance Working Group

Details can be found at http://icac2016.uni-wuerzburg.de/workshops/ SCOPE AND TOPICS

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-symposium/

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 (http://icac2016.uni-wuerzburg.de/calls/instructions-to-authors/). Papers must be submitted electronically in PDF format through the ICAC’2016 submission site (https://easychair.org/conferences/?conf=icac2016).

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 Mueller-Schloer, Leibniz Universitaet Hannover, Germany
Hausi A. Mueller, 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

Conference Dates

Submissions: January 28, 2016
Notification: April 15, 2016
Event: July 19, 2016-July 22, 2016