Autonomic computing : principles, design and implementation /
Lalanda, Philippe,
Autonomic computing : principles, design and implementation / Philippe Lalanda. - xi, 288 pages : illustartions; 24 cm. - Undergraduate topics in computer science .
computer bookfair2015
Includes bibliographical references and index.
Software Engineering to Autonomic Computing --
Autonomic Systems --
Sources of Inspiration for Autonomic Computing --
Autonomic Computing Architectures --
The Monitoring Function --
The Adaptation Function --
The Decision Function --
Evaluation Issues --
Autonomic Mediation in Cilia --
Future of Autonomic Computing and Conclusions --
Learning Environment.
This textbook 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. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.
9781447150060
2013936543
Autonomic computing.
Software engineering.
004 / L.P.A
Autonomic computing : principles, design and implementation / Philippe Lalanda. - xi, 288 pages : illustartions; 24 cm. - Undergraduate topics in computer science .
computer bookfair2015
Includes bibliographical references and index.
Software Engineering to Autonomic Computing --
Autonomic Systems --
Sources of Inspiration for Autonomic Computing --
Autonomic Computing Architectures --
The Monitoring Function --
The Adaptation Function --
The Decision Function --
Evaluation Issues --
Autonomic Mediation in Cilia --
Future of Autonomic Computing and Conclusions --
Learning Environment.
This textbook 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. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.
9781447150060
2013936543
Autonomic computing.
Software engineering.
004 / L.P.A