By Philippe Lalanda
This textbook offers a realistic viewpoint on autonomic computing. throughout the mixed use of examples and hands-on tasks, the ebook permits the reader to speedily achieve an realizing of the theories, versions, layout ideas and demanding situations of this topic whereas development upon their present wisdom. positive factors: presents a based and complete advent to autonomic computing with a software program engineering point of view; supported through a downloadable studying surroundings and resource code that permits scholars to advance, execute, and attempt autonomic purposes at an linked web site; offers the newest info on concepts imposing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the demanding situations to comparing an autonomic procedure, assisting the reader in designing checks and metrics that may be used to match structures; experiences the main correct assets of notion for autonomic computing, with guidelines in the direction of extra vast distinctiveness literature.
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Additional resources for Autonomic Computing: Principles, Design and Implementation
It is a practical guide to introduce the concepts of autonomic computing to advanced students, researchers and system managers alike. Through the combined use of examples and practical projects, the aim is to enable the reader to rapidly understand 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. We hope that this book allows the advanced computing student and researcher to be able to consolidate their programming, artificial intelligence, systems architecture and software engineering courses to allow them to better architect robust yet flexible software systems capable of meeting the computing demands for today and in the future.
3. 2 35 Fundamental Self-* Features The four self-* features considered as fundamental for any autonomic system, and therefore most cited in the autonomic computing domain, are self-configuration, self-healing, self-optimisation and self-protection—also referred to in short as self-chop. This section discusses these four fundamental features. Self-configuration: an autonomic system configures and reconfigures itself in order to adapt to various, possibly unpredictable conditions, so as to continuously meet a set of business objectives.
In other words, its objective is to enable computer systems to manage themselves so as to minimise the need for human intervention. In the autonomic computing vision, human administrators merely specify the computer system’s high-level business goals. These goals subsequently serve as guidance to the underlying autonomic processes. In such settings, human administrators can more readily concentrate on defining high-level business objectives, or policies, and are freed from dealing with the lower-level technical details necessary to achieve such objectives, as these tasks are now performed by the autonomic system.