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.
| Autorius: | Philippe Lalanda, Ada Diaconescu, Julie A. McCann, |
| Serija: | Undergraduate Topics in Computer Science |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 304 |
| ISBN-10: | 1447150066 |
| ISBN-13: | 9781447150060 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Software Engineering |
Parašykite atsiliepimą apie „Autonomic Computing: Principles, Design and Implementation“
