By Philippe Lalanda
This textbook presents a realistic standpoint on autonomic computing. throughout the mixed use of examples and hands-on initiatives, the publication permits the reader to speedily achieve an knowing of the theories, types, layout ideas and demanding situations of this topic whereas construction upon their present wisdom. good points: presents a dependent and complete advent to autonomic computing with a software program engineering viewpoint; supported through a downloadable studying surroundings and resource code that enables scholars to enhance, execute, and try autonomic purposes at an linked site; offers the newest details on recommendations enforcing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the demanding situations to comparing an autonomic procedure, helping the reader in designing checks and metrics that may be used to match structures; stories the main suitable resources of notion for autonomic computing, with guidelines in the direction of extra wide uniqueness literature.
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Extra resources for Autonomic Computing: Principles, Design and Implementation
When an autonomic system wishes to adapt so as to fulfil a goal, it will typically require an understanding of both the external world (the context) and its internal self (its state); see Fig. 1. Context can be defined as any information that can be used to characterise the situation of an entity that is relevant to an autonomic system [2–4]. Hence, such entity can be a person, an object or a program. An autonomic system uses its understanding of an entity’s state to make decisions and achieve its self-management goals.
Autonomic Computing: IBM’s Perspective on the State of Information Technology, IBM. pdf (2001) 13. : A view of 20th and 21st century software engineering. In: ICSE 2006: Proceedings of the 28th International Conference on Software Engineering, pp. 12–29. ACM, New York (2006) 2 Autonomic Systems The purpose of this chapter is to define the notion of autonomic systems and to introduce related terminology. It discusses the main ideas that are essential to any autonomic computing system, including the concepts of ‘goal’, ‘context’ and ‘self-*’ capabilities.
In order to achieve these demanding requirements, most software engineering activities must be revisited. The requirements phase, for instance, must decide on the (types of) adaptations and monitoring data that are desired so that the system can selfmanage. Some high-level requirements—the administrative goals—must become explicit and formally defined so as to be interpretable and manoeuvrable by the software system, at runtime, since these drive the system’s operation. That is, the self-managed, autonomic system adapts its behaviour to best maintain these sets of goals.
Autonomic Computing: Principles, Design and Implementation by Philippe Lalanda