E-Book, Englisch, 288 Seiten, eBook
Lalanda / McCann / Diaconescu Autonomic Computing
Erscheinungsjahr 2013
ISBN: 978-1-4471-5007-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Principles, Design and Implementation
E-Book, Englisch, 288 Seiten, eBook
Reihe: Undergraduate Topics in Computer Science
ISBN: 978-1-4471-5007-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Weitere Infos & Material
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.