SISSY 2016 - 3rd Workshop on Self-Improving System Integration

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...
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