ICAC 2013 Call for Papers

Sponsored by USENIX, the Advanced Computing Systems Association

Important Dates

  • Paper registrations (title and abstract) due: February 25, 2013, 11:59 p.m. PST
  • Paper submissions due: March 7, 2013, 11:59 p.m. PST
  • Poster/demo and Ph.D. forum proposals due: March 18, 2013
  • Notification to authors: April 15, 2013
  • Final paper files due: May 22, 2013

Download Call for Papers PDF

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; note that this form should only be used for submissions to the general track of ICAC '13, not the special tracks outlined below, which will have their own Web submission forms linked from their respective Web pages. 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. Each track has its own schedule for submissions; please review the respective schedules carefully. More information regarding the special track on Self-Aware Internet of Things is available here. More information regarding the special track on Management of Big Data Systems is available here.

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. For formatting and submission instructions, plus the Web submission form specific to this session, see the Call for Posters and Demos.

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. For detailed submission instructions, see the Call for Ph.D. Forum Proposals.

Workshops

Two workshops will take place in conjunction with ICAC '13 during USENIX Federated Conferences Week: ESOS '13 and Feedback Computing '13.

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 Thing

Levent Gürgen, CEA-Leti, France
Klaus Moessner, University of Surrey, UK
Abdur Rahim Biswas, Create-Net, Italy

Ph.D. Forum Chair

Rean Griffith, VMware

Publicity Co-Chairs

Daniel Batista, University of Sao Paulo
Martina Maggio, Lund University
Vartan Padaryan, The Institute for System Programming of the Russian Academy of Sciences (ISP RAS)
Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences
Ming Zhao, Florida International University

Program Committee

Tarek Abdelzaher, University of Illinois at Urbana-Champaign
Artur Andrzejak, Heidelberg University
Sara Bouchenak, University of Grenoble
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 São Paulo
Jose Fortes, University of Florida
Dimitrios Georgakopoulos, CSIRO
Rean Griffith, VMware
Xiaohui Gu, North Carolina State University
Yuxiong He, Microsoft Research Redmond
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 Chair

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
Vanish Talwar, HP Labs
Dongyan Xu, Purdue University