By Philippe Lalanda
This textbook offers a realistic point of view on autonomic computing. throughout the mixed use of examples and hands-on initiatives, the booklet permits the reader to swiftly achieve an figuring out of the theories, types, layout ideas and demanding situations of this topic whereas development upon their present wisdom. good points: offers a based and entire advent to autonomic computing with a software program engineering standpoint; supported by means of a downloadable studying atmosphere and resource code that permits scholars to increase, execute, and attempt autonomic functions at an linked site; offers the newest details on innovations enforcing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the demanding situations to comparing an autonomic approach, assisting the reader in designing exams and metrics that may be used to match platforms; studies the main suitable assets of suggestion for autonomic computing, with tips in the direction of extra broad uniqueness literature.
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Extra resources for Autonomic Computing: Principles, Design and Implementation
Moreover, for specifying high-level systems goals, administrators may employ domain-specific concepts and languages, rather than having to permanently translate such concepts into low-level computerspecific terms (Fig. 1). As explained in Chap. 1, autonomic computing is motivated by the increasing complexity inherent in today’s software systems and the associated total ownership cost (TOC) of software systems. Software complexity mainly stems from the multitude of interrelated business requirements that systems must meet, from the significant number of interconnected software and hardware elements involved in system implementation and from the high distribution and heterogeneity of such elements.
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.
4), enabling systems to self-monitor (Chap. 5) and self-adapt (Chap. 6) and then the methods that systems can use in order to make adaptation decisions (Chap. 7). Finally, we provide some pointers on how software engineering can intervene for developing evaluation solutions for self-managed systems (Chap. 8). Unclear or immature software engineering techniques with respect to their applicability to autonomic computing are not addressed in this book. For instance, the problem of discovering and formally representing requirements related to autonomic needs is not covered here for much research is still required in this subject.
Autonomic Computing: Principles, Design and Implementation by Philippe Lalanda