[Storage-research-list] 13th IEEE International Conference on Autonomic Computing 2016 - 2nd Call-for-Papers

[Nikolas Herbst]

ICAC 2016 2nd Call-for-Papers
http://icac2016.uni-wuerzburg.de/

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

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 on Models at 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 – 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
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