International Conference on
Autonomic Computing (ICAC-04)

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GENERAL CHAIRS

 Jeffrey Kephart, IBM Research, USA
    Manish Parashar, Rutgers Univ., USA


 PROCEEDINGS

 

REGISTRATION FORM

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CALL FOR PAPERS

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CALL FOR TUTORIALS

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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

FURTHER INFORMATION

URL: www.autonomic-conference.org
E-mail: ac04@caip.rutgers.edu
AC: www.research.ibm.com/autonomic          automate.rutgers.edu
 
 

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:

  1. 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.

  2. 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.

  3. 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.

  4. Toolkits, development environments, and languages for autonomic computing. Support for building individual components of autonomic computing systems or applications.

  5.  Technologies that support inter-element interactions, such as service-level agreements, negotiation protocols and algorithms, and conversation support.

  6. 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.

  7. Autonomic computing systems or prototype systems that exhibit self-configuration, self-optimization, self-healing, and/or self-protection.

  8. Human interaction with autonomic systems, including user studies, interfaces for monitoring and controlling behavior, and techniques for defining, distributing, and understanding policies.

  9. Fundamental science of self-managing systems: understanding, controlling, or exploiting emergent behavior, theoretical investigations of coupled feedback loops, robustness, and other related topics.

    

IEEE & IEEE Computer Society

National Science Foundation

Corporate support from IBM and Sun Microsystems

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