|
|
GENERAL
CHAIRS |
Jeffrey
Kephart, IBM Research, USA
Manish Parashar, Rutgers Univ., USA
|
|
IMPORTANT DATES |
Paper submissions: January 12,
2004
Tutorial submissions: January 30, 2004
Poster submissions: February 9, 2004
Author notification: February 28, 2004
Final manuscripts due: March 8, 2004
Conference: May 17-18, 2004 |
|
The International
Conference on Autonomic Computing will be held in conjunction with the 13th
International World Wide Web Conference (WWW2004)
at Sheraton
Hotel, New York, NY.
The increasing complexity of integrating,
deploying and managing computing systems is beginning to overwhelm the
capabilities of software developers and system administrators. The only
viable long-term solution is to create computer systems that manage
themselves in accordance with high-level guidance from humans – a vision
that is sometimes referred to as autonomic computing. Meeting
the grand challenge of autonomic computing requires scientific and
technological advances in a wide variety of fields, and new architectures
that support effective integration of the constituent technologies.
The
purpose of the International Conference on Autonomic Computing is to bring
together researchers in diverse fields who are addressing important aspects
of self-management in computing systems. In so doing, we hope to establish a
unified community that can work together to realize the ultimate vision of
large-scale self-managing systems.
Papers are solicited on a broad array of topics
of relevance to autonomic computing; particularly those that bear on
connections and relationships among different areas of research. Topics of
interest include, but are not limited to:
-
Specific self-managing system components, such
as storage, server, client, database, or network elements. Emphasis should
be placed on interactions with other components, or techniques or lessons
that may generalize to other components.
-
AI and other generic technologies for
self-managing components including statistical, machine learning, and
optimization techniques, planning, knowledge representation, reasoning,
fault diagnosis, policies, sensing, and monitoring.
-
General architectures for individual
components or for autonomic computing systems as a whole, based on Open
Grid Services, Web Services, or more novel paradigms based on biological,
economic, social, or other analogies.
-
Toolkits, development environments, and
languages for autonomic computing. Support for building individual
components of autonomic computing systems or applications.
-
Technologies that support inter-element
interactions, such as service-level agreements, negotiation protocols and
algorithms, and conversation support.
-
System-level technologies or services that
entail interactions among two or more components of self-managing systems,
such as dependency analysis, problem localization or remediation, workload
management, provisioning, and health monitoring.
-
Autonomic computing systems or prototype
systems that exhibit self-configuration, self-optimization, self-healing,
and/or self-protection.
-
Human interaction with autonomic systems,
including user studies, interfaces for monitoring and controlling
behavior, and techniques for defining, distributing, and understanding
policies.
-
Fundamental science of self-managing systems:
understanding, controlling, or exploiting emergent behavior, theoretical
investigations of coupled feedback loops, robustness, and other related
topics.
|