Download Autonomic Computing: Principles, Design and Implementation by Philippe Lalanda, Julie A. McCann, Ada Diaconescu PDF

By Philippe Lalanda, Julie A. McCann, Ada Diaconescu

Autonomic computing is altering the best way software program platforms are being constructed, introducing the aim of self-managed computing platforms with minimum want for human input.

This easy-to-follow, classroom-tested textbook/reference presents a pragmatic point of view on autonomic computing. in the course of the mixed use of examples and hands-on initiatives, the e-book 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; therefore reinforcing the innovations of autonomic computing and self-management.

Topics and features:

* offers a established and accomplished advent to autonomic computing with a software program engineering perspective
* Supported by means of a downloadable studying surroundings and resource code that enables scholars to boost, execute, and attempt autonomic purposes at an linked website
* offers the newest details on options 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 autonomic computing systems
* studies the main correct resources of proposal for autonomic computing, with tips in the direction of extra vast forte literature
* excellent for a 10-week lecture programme

This concise primer and functional advisor could be of significant use to scholars, researchers and practitioners alike, demonstrating easy methods to greater architect powerful but versatile software program structures able to assembly the computing calls for for at the present time and sooner or later.

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Additional resources for Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science)

Example text

This section describes the different from of self-reflection. 1 Autonomic Key Features In its autonomic computing manifesto [5], IBM identifies eight key characteristics to define an autonomic system: 1. To hold self-knowledge and consist of elements which possess system identity. 2. (Re-)configure in reaction to, potentially unpredictable, environmental changes. 3. Continuously strive to optimise functioning so as to reach predefined criteria. 4. Detect and recover from component failure so as to maintain global dependency.

While exact employment data in the particular domain of IT system administration is difficult to pinpoint, current statistics and predictions related to the IT domain in general do not seem to indicate an extraordinary growth in job openings in this sector. 9 % growth). 2 million employees by 2020 [11]. This places the computer occupational group as the 6th fastest-growing occupational group (out of 22 groups9). A further refinement of this data [12] highlights the progression of occupations, such as IT system administration.

In addition to reactive self-protection activities, an autonomic system may proactively anticipate security threats and take pre-emptive action to prevent their occurrence. Self-protection actions may include taking resources offline when detecting intrusions, increasing security checks when suspecting potential threats or generally alerting system administrators. Just as computer hacker attacks and virus infections are being increasingly automated for more dramatic impacts and faster spread across systems, defence procedures must be automated accordingly to enable suitable and timely responses to such incidents.

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