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Call for Papers
FIRST WORKSHOP ON
ALGORITHMS AND ARCHITECTURES FOR
SELF-MANAGING SYSTEMS
http://tesla.hpl.hp.com/self-manage03
Wednesday, June 11, 2003
Federated Computer Research Conference (FCRC)
San Diego, CA
Co-sponsored by ISCA 2003 and SIGMETRICS 2003
Important Dates:
April 4, 2003 - Paper submission deadline
April 25, 2003 - Notification of acceptance
May 23, 2003 - Camera-ready submission deadline
E-mail submissions to: [EMAIL PROTECTED]
The increasing complexity of computing systems is beginning to
overwhelm the capabilities of software developers and system
administrators to design, evaluate, integrate, and manage these
systems. Major software and system vendors are concluding that the
only viable long-term solution is to create computer systems that
manage themselves, often referred to as autonomic computing systems.
The purpose of this one-day workshop, co-sponsored by ISCA 2003 and
SIGMETRICS 2003, is to bring together different communities to address
the significant algorithmic, methodological, and architectural
challenges of self-managing systems. In the last decade, the
statistics, probability theory, machine learning and data mining
communities (aided by Moore's law) have developed many exciting new
techniques that infer models of system behavior from large volumes of
data, and employ these models in a variety of self-management
functions, such as problem diagnosis, prediction, and planning. While
systems architects and analysts are recognizing that they must go
beyond traditional methods of building complex systems and
understanding their behavior, incorporating these advances into
practice will pose difficult new challenges. What are the best
opportunities to use these new techniques in real systems, and what
are their limitations? What structural changes are necessary for
dependable self-management? What are the most effective ways to
embed, distribute, and coordinate analytic capabilities in complex
global-scale distributed systems with many interacting elements and
control points?
Workshop Format and Paper Submissions
The workshop program will include presentations of contributed papers,
together with panel discussions on new directions in advanced analysis
and architectures for self-managing systems. We request submissions
of short (up to 6-page) technical papers on the design and evaluation
of self-managing systems at all scales. Submissions will be judged in
part by their potential to encourage discussion and exchange of ideas
at the workshop. Areas of interest include, but are not limited to:
o Automatic configuration of complex systems based on high-level goals
o Automated failure detection, diagnosis, prediction, and recovery
o Algorithms and architectures for self-optimizing or self-healing=20
systems
o Statistical, probabilistic, and data mining techniques for analyzing=20
system behavior
o Formulation of Service Level Agreements (SLAs) for performance and=20
availability
o Active monitoring and enforcement of SLAs
o Adaptive resource provisioning and instantaneous/incremental capacity =
on demand
o Dynamic power management and thermal management for mission-critical=20
systems
o Techniques for system evaluation, simulation, and verification
o Methods for workload characterization and generation
o Service-oriented or agent-oriented approaches
o Approaches inspired by biology, economics and other domains
o Other novel approaches to monitoring, analysis, and feedback control
Submissions should be formatted according to ACM guidelines found at
http://www.acm.org/sigs/pubs/proceed/template.html. E-mail
submissions to [EMAIL PROTECTED] as attachments in
Postscript or PDF, no later than April 4, 2003.
Organizing Committee:
Jeffrey Chase, Duke University
Moises Goldszmidt (co-chair), HP Labs
Kimberly Keeton, HP Labs
Jeffrey O. Kephart (co-chair), IBM Research
William H. Tetzlaff, IBM Research
Program Committee:
Aaron Brown, UC Berkeley
Armando Fox, Stanford University
Prabhakar Raghavan, Verity, Inc.
Bikash Sabata, IET, Inc.
Anand Sivasubramaniam, Penn State University
Mark Squillante, IBM Research
Yanyong Zhang, Rutgers University
plus Organizing Committee
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