Overview

ICAC is the leading conference on autonomic computing techniques, foundations, and applications. Large-scale systems of all types, such as data centers, computer clouds, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments, are becoming increasingly complex and burdensome for people to manage. Autonomic computing systems reduce this burden by managing their own behavior in accordance with high-level goals. In autonomic systems, resources and applications are managed to maximize performance and minimize cost, while maintaining predictable and reliable behavior in the face of varying workloads, failures, and malicious threats. Achieving self-management requires and motivates research that spans a wide variety of scientific and engineering disciplines, including distributed systems, artificial intelligence, machine learning, modeling, control theory, optimization, planning, decision theory, user interface design, data management, software engineering, emergent behavior analysis, and bio-inspired computing. ICAC brings together researchers and practitioners from disparate disciplines, application domains and perspectives, enabling them to discover and share underlying commonalities in their approaches to making resources, applications and systems more autonomic.


Topics of Interest
Papers are solicited from all areas of autonomic computing, including (but not limited to):

* Self-managing components, such as compute, storage, and networking devices, embedded and real time systems, and mobile devices such as smartphones.
* AI and mathematical techniques, such as machine learning, control theory, operations research, probability and stochastic processes, queueing theory, rule-based systems, and bio-inspired techniques, and their use in autonomic computing.
* End-to-end design and implementation of systems for management of resources, workloads, scalability, availability, performance, reliability, power/cooling, and security.
* Monitoring components and platforms for autonomic systems in IT or cyber-physical environments.
* Hypervisors, operating systems, middleware, or application support for autonomic computing.
* Novel human interfaces for monitoring and controlling autonomic systems.
* Goal specification and policies, including specification and modeling of service-level agreements, behavior enforcement, IT governance, and business-driven IT management.
* Frameworks, principles, architectures, and toolkits, from soft­ware engineering practices and experimental methodologies to agent-based techniques.
* Automated management techniques for emerging applications, systems, and platforms, including social networks, cloud computing, big data systems, multi-core servers, smart cities, and cyber-physical systems.
* Fundamental science and theory of self-managing systems for understanding, controlling or exploiting emergent system behaviors to enforce autonomic properties.
* Applications of autonomic computing and experiences with prototyped or deployed systems solving real-world problems in science, engineering, business, or society.

Papers will be judged on originality, significance, interest, correctness, clarity, and relevance to the broader community. Papers are strongly encouraged to report on experiences, measurements, user studies, and provide an appropriate quantitative evaluation if at all possible.


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)
* Experience papers limited to 8 pages (double column)
* Short papers limited to 6 pages (double column)


General Chairs
• Philippe Lalanda, University of Grenoble, France
• Ada Diaconescu, Telecom ParisTech, France


Program Committee Co-Chairs
• Lucy Cherkasova, HP Labs, USA
• Samuel Kounev, University of Wuerzburg, Germany


Program Committee

Tarek Abdelzaher, University of Illinois at Urbana-Champaign
Artur Andrzejak, Heidelberg University
Danilo Ardagna, Politecnico di Milano
Novella Bartolini, University of Rome "Sapienza"
Kirstie Bellman, The Aerospace Corporation
Sonia Ben Mokhtar, LIRIS-CNRS
Fabian Bustamante, Northwestern University
Giacomo Cabri, Universita di Modena e Reggio Emilia
David Carrera, UPC - BarcelonaTech and BSC
Giuliano Casale, Imperial College London
Lydia Chen, IBM Zurich
Elisabetta Di Nitto, Politecnico di Milano
Yuxin Diao, IBM Research
Jose Fortes, University of Florida
Rean Griffith, VMware
Daniel Gmach, HP Labs
Xiaohui Gu, North Carolina State University
Indranil Gupta, UIUC
Emma Hart, Edinburgh Napier University
Yuxiong He, Microsoft Research
Tom Holvoet, Katholieke Universiteit Leuven
Alexandru Iosup, Delft University of Technology
Vana Kalogeraki, Athens University of Economics and Business
Evangelia Kalyvianaki, City University London
Fabio Kon, University of Sao Paulo
Michael Kozuch, Intel
Diwakar Krishnamurthy, University of Calgary
Marin Litoiu, York University
Arif Merchant, Google
Dejan Milojicic, HP Labs
Ningfang Mi, Northeastern University
Calton Pu, Georgia Institute of Technology
Christian Plessl, University of Paderborn
Shaolei Ren, Florida International University
Eric Rutten, INRIA
Hartmut Schmeck, Karlsruhe Institute of Technology
Onn Shehory, IBM Research Haifa
Kai Shen, University of Rochester
Prashant Shenoy, University of Massachusetts Amherst
Evgenia Smirni, College of William and Mary
Karsten Schwan, Georgia Institute of Technology
Vanish Talwar, HP Labs
Sven Tomforde, Universitat Augsburg
Jordi Torres, Barcelona Supercomputing Center
Jim Torresen, University of Oslo
Timothy Wood, George Washington University
Rolf Wuertz, Ruhr-Universitat Bochum
Xin Yao, University of Birmingham
Ming Zhao, Florida International University
Xiaoyun Zhu, VMware
Xiaobo Zhou, University of Colorado