To deal with the increasing complexity of large–scale computer systems, computers must learn to manage themselves, in accordance with high–level guidance from humans and a vision that has been referred to as autonomic computing. Meeting the grand challenges of autonomic computing requires scientific and technological advances in a wide variety of fields, as well as new software and system architectures that support the effective integration of the constituent technologies. The purpose of the International Conference on Autonomic Computing is to bring together researchers and practitioners addressing aspects of self–management in computing systems. In doing so, we hope to develop and nurture a community that can work together to realize the 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 or report on prototype systems or experiences<br><b>Keywords:</b> Autonomic computing systems or prototype systems that exhibit self–monitoring, self–configuration, self–optimization, self–healing, and/or self–protection.<br>Software architectures for self–managing systems, based on interoperable Grid Services, agent–based systems, Web Services, or novel paradigms such as biological, economic or social.<br>Specific self–managing components, such as server, client, database, storage, or network elements. Emphasis should be placed on interactions with other components, or techniques or lessons that may generalize to other components.<br>Toolkits, environments, models, languages, runtime and compiler technologies for building self–managing components, systems or applications.<br>New technologies supporting system management, such as those based on service–level agreements, negotiation or conversation support, and behavior enforcement.<br>System–level technologies, middleware or services that entail interactions among two or more components of self–managing systems (e.g., health monitoring, dependency analysis, problem localization or remediation, workload management, and provisioning).<br>Interfaces to autonomic systems, including user interfaces, interfaces for monitoring and controlling behavior, techniques for defining, distributing, and understanding policies.<br>Fundamental science of self–managing systems: understanding, controlling, or exploiting emergent behavior, theoretical investigations of coupled feedback loops, predictive methods, robustness, and related topics.<br>Experiences with autonomic system or component prototypes: measurements, evaluations, or analyses of system behavior, user studies, or experiences with large–scale deployments of self–managing systems or applications.<br>
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ICAC
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Jacksonville
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United States
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