By Philippe Lalanda
This textbook offers a pragmatic standpoint on autonomic computing. during the mixed use of examples and hands-on tasks, the booklet allows the reader to quickly achieve an knowing of the theories, types, layout ideas and demanding situations of this topic whereas construction upon their present wisdom. positive factors: presents a dependent and complete creation to autonomic computing with a software program engineering standpoint; supported via a downloadable studying setting and resource code that enables scholars to advance, execute, and try autonomic functions at an linked site; provides the most recent info on concepts enforcing 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 check structures; studies the main proper resources of concept for autonomic computing, with guidelines in the direction of extra broad uniqueness literature.
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Additional info for Autonomic Computing: Principles, Design and Implementation
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. J. Syst. Softw. 1, 213–221 (1980) 3. : Software Engineering, 9th edn. Addison Wesley, Boston (2010) 4. : Fundamentals of Software Engineering. Prentice Hall, Englewood Cliffs (1991) 5. : Production of large computer programs. In: Proceedings of the 9th International Conference on Software Engineering (ICSE), Monterey, CA, USA, pp.
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. However, the more futuristic aspects of this field will be touched upon in the conclusion and the last sections of Chap.
In fact, implementing autonomic solutions has a profound influence on most of the software engineering activities previously presented in this chapter. Of course, these activities still have to be used to produce autonomic software systems, but they have to be refined to meet more ambitious goals. In particular, four major new requirements have to be considered so that a computer system can be administered with minimal human intervention: – A computer system must be able to monitor itself at runtime in order to know its internal situation.