Research challenges of autonomic computing

Autonomic computing is a grand-challenge vision of the future in which computing systems will manage themselves in accordance with high-level objectives specified by humans. The IT industry recognizes that meeting this challenge is imperative; otherwise, IT systems will soon become virtually impossi...

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Bibliographic Details
Published in:Proceedings of the 27th international conference on Software engineering pp. 15 - 22
Main Author: Kephart, Jeffrey O.
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 15.05.2005
Series:ACM Conferences
Subjects:
Computing methodologies
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems
General and reference > Document types > Surveys and overviews
Information systems
Information systems > Information systems applications
Social and professional topics > Professional topics > Management of computing and information systems
self-managing systems
autonomic computing
research challenges
ISBN:1581139632, 9781581139631
Online Access:Get full text
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Summary:Autonomic computing is a grand-challenge vision of the future in which computing systems will manage themselves in accordance with high-level objectives specified by humans. The IT industry recognizes that meeting this challenge is imperative; otherwise, IT systems will soon become virtually impossible to administer. But meeting this challenge is also extremely difficult, and will require a worldwide collaboration among the best minds of academia and industry. In the hope of motivating researchers in relevant areas to apply their expertise to this vitally important problem, I outline some of the main scientific and engineering challenges that collectively make up the grand challenge of autonomic computing, and provide pointers to initial efforts to address these challenges.
ISBN:1581139632
9781581139631
DOI:10.1145/1062455.1062464