Autonomic Computing - Principles, Design and Implementation

Abstract : Autonomic computing is changing the way software systems are being developed, introducing the goal of self-managed computing systems with minimal need for human input. This easy-to-follow, classroom-tested textbook/reference provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge; thus reinforcing the concepts of autonomic computing and self-management.
Type de document :
Ouvrage (y compris édition critique et traduction)
Springer, pp.288, 2013, Undergraduate Topics in Computer Science, 978-1-4471-5007-7. 〈10.1007/978-1-4471-5007-7〉
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https://hal.archives-ouvertes.fr/hal-00854882
Contributeur : Vincent Lestideau <>
Soumis le : mercredi 28 août 2013 - 12:01:50
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03

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Philippe Lalanda, Ada Diaconescu, Mccann Julie. Autonomic Computing - Principles, Design and Implementation. Springer, pp.288, 2013, Undergraduate Topics in Computer Science, 978-1-4471-5007-7. 〈10.1007/978-1-4471-5007-7〉. 〈hal-00854882〉

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