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Seattle, Washington
13 – 16 June, 2005 |
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GENERAL
CHAIRS |
Manish Parashar, Rutgers Univ., USA
Jeffrey
Kephart, IBM Research, USA
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PROGRAM
CHAIRS |
Karsten Schwan, Georgia Tech, USA
Yi-Min
Wang, Microsoft Research, USA
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IMPORTANT DATES |
Title/Abstracts due:17:00 EST,
Jan 17,
2005
Full papers due:17:00 EST,
Jan 24,
2005
Author notification: Feb 28, 2005
Poster submissions: Mar 03, 2005
Tutorial submissions: Mar 03, 2005
Workshop submissions: Mar 03, 2005
Demo/Exhibit submission: Mar 03, 2005
Final manuscripts due: Apr 01, 2005
Conference: Jun 13-16, 2005 |
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ICAC 2005 Panel
Grand Challenges of Autonomic
Computing
PANELISTS:
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Ozalp
Babaoglu, University of Bologna
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Alva
Couch, Tufts University
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Greg
Ganger, Carnegie Mellon University
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Peter
Stone, University of Texas at Austin
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Mazin
Yousif, Intel Research
MODERATOR:
ABSTRACT:
During the
last three years, autonomic computing has emerged as a new and exciting
sub-discipline of computer science. Widespread enthusiasm is evinced by
several autonomic computing workshops that have been affiliated with major
conferences in artificial intelligence, distributed computing, high
performance computing, software engineering, and also by special issues on
facets of autonomic computing in various major academic journals.
At this
juncture in its evolution, it is appropriate for the autonomic computing
research community to engage in some self-examination. Accordingly, we have
assembled a panel of experts representing a diversity of subject areas and
viewpoints to define and debate the scope and future of autonomic computing.
In particular, the panelists will address questions such as:
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What are
the grand challenges of autonomic computing, and how can we best encourage
researchers to address these challenges?
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What
important lessons and ideas should the autonomic computing community draw
from past and present work in other research communities? What can it
contribute to other research communities?
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What
essential new ideas, techniques, or applications distinguish autonomic
computing from related sub-disciplines? What is the proper scope of
autonomic computing?
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How can
the autonomic computing community work together to create and demonstrate
full-fledged autonomic systems? Are there good challenge problems that can
motivate meaningful progress towards the ultimate vision of self-managing
systems?
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