By Philippe Lalanda, Julie A. McCann, Ada Diaconescu
Autonomic computing is altering the best way software program platforms are being built, introducing the target of self-managed computing structures with minimum want for human input.
This easy-to-follow, classroom-tested textbook/reference presents a pragmatic standpoint on autonomic computing. in the course of the mixed use of examples and hands-on tasks, the booklet allows the reader to speedily achieve an figuring out of the theories, versions, layout rules and demanding situations of this topic whereas construction upon their present wisdom; hence reinforcing the strategies of autonomic computing and self-management.
Topics and features:
* offers a dependent and complete creation to autonomic computing with a software program engineering perspective
* Supported by means of a downloadable studying surroundings and resource code that permits scholars to strengthen, execute, and try autonomic functions at an linked website
* provides the most recent details on strategies imposing self-monitoring, self-knowledge, decision-making and self-adaptation
* Discusses the demanding situations to comparing an autonomic approach, assisting the reader in designing checks and metrics that may be used to check autonomic computing systems
* stories the main proper assets of proposal for autonomic computing, with guidelines in the direction of extra large area of expertise literature
* perfect for a 10-week lecture programme
This concise primer and useful advisor should be of serious use to scholars, researchers and practitioners alike, demonstrating the right way to higher architect powerful but versatile software program structures in a position to assembly the computing calls for for this present day and sooner or later.
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Additional resources for Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science)
It also presents in more detail the initial motivations behind the autonomic computing initiative. Chapter 3: Sources of Inspiration for Autonomic Computing The purpose of this chapter is to provide a (certainly biased) overview of the most relevant sources of inspiration for autonomic computing and to offer pointers towards more extensive specialty literature. We pay particular attention to biology, control theory, artificial intelligence and complex systems. Chapter 4: Autonomic Computing Architectures The goal of this chapter is to introduce the main architectural elements of an autonomic system at a high level of abstraction.
It now consists of a set of interrelated properties that a system should possess in order to achieve various degrees of autonomicity (Sect. 3).
In cases where an autonomic system consists of several autonomic elements, the state of a certain autonomic element can be considered as part of the internal state with respect to the global system and at the same time as part of the context with respect to another autonomic element in the same system. The usage context refers to the persons or external systems that interact with the autonomic system in question and also to the way in which they interact with the system and to the places where the interactions take place.