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10th International Conference on Autonomic Computing
June 26-28, 2013 San Jose, CA
Co-held with the 2013 USENIX Federated Conferences Week
Sponsored by USENIX, the Advanced Computing Systems Association
https://www.usenix.org/
* Important Dates
Paper registrations (title and abstract) due: February 25, 2013,
11:59 p.m. PST
Paper submissions due: March 4, 2013, 11:59 p.m. PST
Notification to authors: April 8, 2013
Final paper files due: May 22, 2013
* Overview
ICAC is the leading conference on autonomic computing techniques,
foundations, and applications. Large-scale systems of all types, such
as data centers, compute clouds, sensor networks, embedded or
pervasive environments, and the Internet of Things 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, 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
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 smart phones
** AI and mathematical techniques, such as machine learning, control
theory, operations research, probability and stochastic processes,
queuing theory, rule-based systems, and bio-inspired techniques, and
their use in autonomic computing
** End-to-end design and implementations for management of
resources, workloads, availability, performance, reliability,
power/cooling, security, and others
** Monitoring systems that can scale to large 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, Big Data systems,
multi-core processors, and Internet of Things
** 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.
* Paper Submissions
Full papers (a maximum of 10 pages) and short papers (4 pages) are
invited on a wide variety of topics relating to autonomic computing.
Both full and short papers should be typeset in two-column format in
10 point type on 12 point (single-spaced) leading, with the text block
being no more than 6.5" wide by 9" deep. Both kinds of papers should
be submitted via the Web submission form, which will be available here
soon. Complete formatting and submission instructions can be found
here. Authors are also encouraged to submit a poster or demo that
summarizes or augments their paper (see below).
Simultaneous submission of the same work to multiple venues,
submission of previously published work, or plagiarism constitutes
dishonesty or fraud. USENIX, like other scientific and technical
conferences and journals, prohibits these practices and may take
action against authors who have committed them. See the USENIX
Conference Submissions Policy for details. Papers accompanied by
nondisclosure agreement forms will not be considered. If you are
uncertain whether your submission meets USENIX's guidelines, please
contact the program co-chairs, icac13chairs@usenix.org, or the USENIX
office, submissionspolicy@usenix.org.
At least one author of an accepted paper is expected to present the
paper in person at the conference. The accepted papers will be
available online to registered attendees before the conference and
will also appear in proceedings distributed via USB drives at the
conference. If your accepted paper should not be published prior to
the event, please notify production@usenix.org. The papers will be
available online to everyone beginning on June 26, 2013. Accepted
submissions will be treated as confidential prior to publication on
the USENIX ICAC'13 Web site; rejected submissions will be permanently
treated as confidential.
* Special Tracks
To facilitate community collaboration and exchange of ideas in emergent
technological areas, ICAC'13 will host two special
tracks, each of which will be reviewed by its own subcommittee. More
information regarding the special track on Self-Aware Internet of Things
and the special track on Management of Big Data
Systems is available on the ICAC'13 Call for Papers Web site.
* Posters and Demonstrations
ICAC'13 will also feature a poster and demonstration session consisting
of research prototypes and technology artifacts that
demonstrate autonomic software or autonomic computing principles.
Formatting and submission instructions, plus the Web
submission form specific to this session, is available on the Call for
Papers Web site.
* Ph.D. Forum
Current Ph.D. students who are working on topics relevant to autonomic
computing are invited to submit a short summary
(up to 2 pages) of their work. Top selected submissions will be presented
at a Ph.D. forum during the ICAC'13 conference,
to receive constructive feedback from experts in the field and peers. Top
selected submissions will be presented at a PhD forum
during the ICAC'13 conference. Please check the Call for Papers Web site
for submission instructions.
* Workshops
Workshops will take place in conjunction with ICAC'13 during USENIX
Federated Conferences Week. Find out more at www.
usenix.org/conference/icac13/
* Conference Organizers:
** General Chair: Jeffrey Kephart, IBM Research
** Program Co-Chairs:
Calton Pu, Georgia Institute of Technology;
Xiaoyun Zhu, VMware
** Program Vice-Chairs for Management of Big Data Systems:
Karsten Schwan, Georgia Institute of Technology
Vanish Talwar, HP Labs
** Program Vice-Chairs for Self-Aware Internet of Things:
Levent G?rgen, CEA-Leti, France
Klaus Moessner, University of Surrey, UK
Abdur Rahim Biswas, Create-Net, Italy
** Ph.D. Forum Chair:
Rean Griffith, VMware
** Publicity Chairs:
Ming Zhao, Florida International University
Martina Maggio, Lund University
Daniel Batista, IME/USP (Region Chair: South America)
Vartan Padaryan, Russian Academy of Sciences (Region Chair: Russia)
Jianfeng Zhan, Chinese Academy of Sciences (Region Chair: China)
** Program Committee:
Tarek Abdelzaher, University of Illinois at Urbana-Champaign
Artur Andrzejak, Heidelberg University
Sara Bouchenak, INRIA
Giuliano Casale, Imperial College London
Yuan Chen, HP Labs
Charles Consel, INRIA
Alva Couch, Tufts University
Peter Dinda, Northwestern University
Joao E. Ferreira, University of S?o Paulo
Jose Fortes, University of Florida
Dimitrios Georgakopoulos, CSIRO
Rean Griffith, VMware
Xiaohui Gu, North Carolina State University
Yuxiong He, Microsoft Research
Tom Holvoet, KU Leuven
Jiman Hong, Soongsil University
Geoff Jiang, NEC Labs
Nagarajan Kandasamy, Drexel University
Yasuhiko Kanemasa, Fujitsu Labs
Jeff Kephart, IBM Research
Samuel Kounev, Karlsruhe Institute of Technology
Mike Kozuch, Intel Labs
Marin Litoiu, York University
Xue Liu, McGill University
Arif Merchant, Google
Tridib Mukherjee, Xerox Research
Onur Mutlu, Carnegie Mellon University
Priya Narashimhan, Carnegie Mellon University
Omer Rana, Cardiff University
Anders Robertsson, Lund University
Kai Sachs, SAP AG
Hartmut Schmeck, KIT
Karsten Schwan, Georgia Institute of Technology
Onn Shehory, IBM Research Haifa
Yasushi Shinjo, Tsukuba University
Evgenia Smirni, College of William and Mary
Christopher Stewart, Ohio State University
Ya-Yunn Su, National Taiwan University
Vanish Talwar, HP Labs
Bhuvan Urgaonkar, Pennsylvania State University
Mustafa Uysal, VMware
Xiaorui Wang, Ohio State University
Jianwei Yin, Zhejiang University
Kenji Yoshihira, NEC Labs
Jianfeng Zhan, Chinese Academy of Sciences
Ming Zhao, Florida International University
Xiaobo Zhou, University of Colorado
** Poster/Demo Program Chair:
Samuel Kounev, Karlsruhe Institute of Technology
** Poster/Demo Program Committee:
Artur Andrzejak, Heidelberg University
Sara Bouchenak, University of Grenoble
Giuliano Casale, Imperial College London
Simon Caton, KIT
Dimitrios Georgakopoulos, CSIRO ICT Centre
Marin Litoiu, York University
Sam Malek, George Mason University
Arif Merchant, Google
Kai Sachs, SAP AG
Evgenia Smirni, College of William and Mary
Mustafa Uysal, VMware
** Steering Committee:
Tarek Abdelzaher, University of Illinois at Urbana Champaign
Jeff Kephart, IBM Research (Chair)
Dejan Milojicic, HP Labs
Hartmut Schmeck, Karlsruhe Institute of Technology
Karsten Schwan, Georgia Institute of Technology
Dongyan Xu, Purdue University
Vanish Talwar, HP Labs
* More information:
** Web: https://www.usenix.org/
** Email: icac2013@cs.fiu.edu
** LinkedIn: http://www.linkedin.com/
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