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ICAC 2010 : The 7th International Conference on Autonomic Computing and Communications


Conference Series : International Conference on Autonomic Computing
When Jun 7, 2010 - Jun 11, 2010
Where Washington, DC, USA
Abstract Registration Due Jan 11, 2010
Submission Deadline Jan 18, 2010
Notification Due Mar 8, 2010
Final Version Due Apr 1, 2010

Call For Papers


The 7th International Conference on Autonomic Computing and Communications
Call For Papers June 7-11, 2010. Washington, DC, USA

Renato Figueiredo, University of Florida
Emre Kiciman, Microsoft Research

Tarek Abdelzaher, UIUC
Yuriy Brun, University of Washington
Fabian Bustamante, Northwestern University
Betty Cheng, Michigan State University
Jeff Chase, Duke University
Alva Couch, Tufts University
Steve Hand, University of Cambridge
Joe Hellerstein, Google
Ravi Iyer, UIUC
Guofei Jiang, NEC Labs
Mike Kozuch, Intel Labs Pittsburgh
Milan Milenkovic, Intel
Dejan Milojicic, HP Labs
Jeanna Matthews, Clarkson University
Omer Rana, Cardiff University
Masoud Sadjadi, Florida Intl. University
Richard Schlichting, AT&T Labs
Karsten Schwan, Georgia Tech
Onn Shehory, IBM Haifa Research Lab
John Strunk, NetApp
Neeraj Suri, TU Darmstadt
Vanish Talwar, HP Labs
Eno Thereska, Microsoft Research
Dongyan Xu, Purdue University
Xiaoyun Zhu, VMWare
Simon Dobson, University of St Andrews
José Fortes, University of Florida
Salim Hariri, University of Arizona
Jeffrey Kephart, IBM Research
Manish Parashar, Rutgers University
Brent Miller, IBM
Karsten Schwan, Georgia Tech
John Strassner, POSTECH
John Wilkes, Google
Mazin Yousif, Avirtec

Important Dates
Abstracts: Jan 11 2010, 6pm PDT
Full papers: Jan 18 2010, 6pm PDT (HARD DEADLINE)
Notification: March 8, 2010
Camera-ready: April 2010
Workshop proposals: Oct. 5, 2009
Demo/exhibit proposals: Mar. 29, 2010

Large-scale computer systems, from IT infrastructures and Grids to enterprise
datacenters and Internet services, present common challenges in managing
resources and applications to maximize performance and power efficiency while
maintaining predictable and reliable behavior in the face of varying
workloads and failures. A system that addresses these challenges by
integrating monitoring, decision-processing and actuation is an Autonomic
Computing System. Research in autonomic computing spans a variety of
areas, from computer systems, architecture, databases and networks to
machine learning and control theory. The purpose of ICAC is to bring
together researchers and practitioners across these disciplines to address
the multiple facets of self-management in computing systems and applications.

Papers are solicited from all areas of autonomic computing, including:
• End-to-end techniques for autonomic management of resources, workloads,
faults, power/thermal, and other challenges.
• Self-managing components, such as server, storage, network, data center or
specific application elements.
• Decision and analysis techniques, such as machine learning, control theory,
predictive methods, emergent behavior, selforganizing networks and rule-based
• Monitoring systems for autonomic computing.
• Virtual machine, operating systems, hardware techniques or application
frameworks in autonomic computing.
• Novel human interfaces for monitoring and controlling autonomic systems.
• Management topics, such as specification and modeling of service-level
agreements, behavior enforcement and tie-in with IT governance.
• Toolkits, frameworks, principles and architectures, from software
engineering practices and experimental methodologies to agent-based
techniques and virtualization.
• Fundamental science and theory of selfmanaging systems: understanding,
controlling or exploiting system behaviors to enforce autonomic properties
• Experience with existing systems
• Applications of autonomics to real problems in science, engineering,
business and society.

Papers will be judged on originality, significance, interest, correctness, clarity
and relevance to the broader community. Papers should report on experiences,
measurements, user studies, or other evaluations, as appropriate. Evaluations of
a prototype or large-scale deployment of autonomic systems and applications is

Full papers (a maximum of 10 pages in length) and posters (2 pages) are invited
on a wide variety of topics relating to autonomic computing. Submitted papers
must be original work, and may not be under consideration for another conference
or journal. Complete formatting and submission instructions can be found on the
conference web site. Accepted papers and posters will appear in proceedings
distributed at the conference and available electronically. Authors of accepted
papers and posters are expected to present their work at the conference.

ICAC-10 welcomes proposals for co-located workshops on topics of interest to the
autonomic computing community. Workshops are expected to publish proceedings, and
should cover areas that complement the main program. ICAC-10 will also feature a
demonstration and exhibition session consisting of prototypes and technology
artifacts such as demonstrating autonomic software or autonomic computing principles.
Entries will be judged by a separate committee led by the demo/exhibit chair.

One of ICAC’s important roles is to bring together researchers and practitioners
from academia and industry. In its industry session, ICAC helps fulfill this
role by presenting an industry viewpoint on technologies, products, and market
needs. The industry session also addresses current challenges, and opportunities
for academic and corporate research collaborations. We encourage industry
leaders, including entrepreneurs, product developers, architects, managers,
marketers and end users, to submit their papers and posters reflecting such
industry perspectives as part of the regular submission process.

A student best paper award will be presented, consisting of a commemorative
plaque, complimentary student registration to the conference and an honorarium
that will partially cover travel and hotel costs. A student paper is defined as
one in which the principal author and presenter is a student.

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