ICAC 2016 2nd Call-for-Papers

2ND CALL FOR PAPERS

13th IEEE International Conference on Autonomic Computing (ICAC 2016)

Wuerzburg, Germany, July 19-22, 2016 | http://icac2016.uni-wuerzburg.de/

In cooperation with USENIX and SPEC

CONFERENCE PATRONS
SAP, Huawei, Hewlett Packard Enterprise, Google, Microsoft

WORKSHOPS

• 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@run.time
• 11th International Workshop on Feedback Computing

IMPORTANT DATES

• 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

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.

ORGANIZATION

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

PROGRAM COMMITTEE

• 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 aEU" Lincoln, USA
• Martina Maggio, Lund University, Sweden
• Sam Malek, George Mason University, USA
• Julie McCann, Imperial College London, UK
• Ole J. Mengshoel, Carnegie Mellon University, USA
• Arif Merchant, Google, USA
• Christian Muller-Schloer, Leibniz Universitaet Hannover, Germany
• Hausi A. Muller, 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 RhA'ne-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