By Philippe Lalanda
This textbook offers a realistic standpoint on autonomic computing. during the mixed use of examples and hands-on tasks, the booklet allows the reader to quickly achieve an realizing of the theories, types, layout ideas and demanding situations of th
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Additional info for Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science)
Self-managed systems demand us to rethink most software engineering activities in order to push them into the runtime. This book is structured according to this statement. It seeks to provide software engineering ideas that are required to understand and build autonomic systems. References 1. : No silver bullet: Essence and accidents of software engineering. J. ) Information Processing 86, pp. 1069–1076. Elsevier, Amsterdam (1986). Reprinted in Computer, 20, 4 (April 1987), pp. 10–19 2. : On understanding laws, evolution, and conservation in the large-program life cycle.
G. miss-configurations, bugs or failure in software or hardware elements) may help selecting an appropriate repair solution while involving more complicated analysis and planning procedures. Recovery methods may include finding alternative resource usage, downloading software updates, replacing failed hardware components, restarting failed elements or simply throwing an exception to notify a human administrator. Similarly to the way a damaged brain may use unharmed areas to re-implement lost functions, an autonomic computing system may dynamically integrate redundant or underutilised components to replace failed parts to maximise its availability.
Chapter 10: Future of Autonomic Computing and Conclusions The purpose of this final chapter is to recap the key points tackled in this book and to introduce the reader to the open issues in autonomic computing. Precisely, this chapter aims to look ahead and foresee the future of autonomic computing. The purpose of this book is hence to clarify the software engineering techniques used by autonomic computing. It is a practical guide to introduce the concepts of autonomic computing to advanced students, researchers and system managers alike.