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Autonomic Computing and Networking

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Autonomic Computing Enabled Cooperative Networked Design

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

This chapter presents the rationale behind the introduction of the visionary concept of autonomic computing, as well as its rapidly progressing further translation into and convergence with the domain of modern networked systems. Even though it could be perceived as being more of an introductory, context setting nature only, in fact the chapter provides an extensive, additional commentary and analysis for the purpose of outlining the most comprehensive view on the current status and role of autonomics overall. To this end, not only are the key aspects of the original approach explained but the relevant conceptual and architectural changes are indicated to settle the ground for the introduction of the new concept of Autonomic Cooperative System Architectural Model (ACSAM).

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Notes

  1. 1.

    More precisely, originally “rational decisions” of “automated agents” are referred to in this context [7]. The description provided in the book, however, is already targeted towards and adjusted with the theory behind the Generic Autonomic Network Architecture (GANA) to be presented in the next chapter [2].

  2. 2.

    In fact, such tasks rather appear to be continuous processes, as the configuration may be changing dynamically and adaptively over time, triggering not only self-optimisation but also self-protection.

  3. 3.

    The current designs, such as the Generic Autonomic Network Architecture (GANA), appear to tend to rather expose the internals by modifying the notion of an Autonomic Element when perceived from the global perspective.

  4. 4.

    Similarly, in the most recent developments the functionality equivalent to an ME is usually referred to as a Managed Entity (ME), while the legacy control loop functions rather as an Autonomic Control Loop (ACL).

  5. 5.

    For the sake of an immediate comparison, the GANA approach, orientated towards distributed networked systems, introduces four conceptual levels given here in the bottom–up order: protocol level, function level, node level, and network level, as introduced in Chap. 3 and further addressed in Chap. 6.

  6. 6.

    The connotations outlined by the author come more from relevant academic and industrial discussions, and especially those related to the author’s standardisation activity within Industry Specification Group on Autonomic network engineering for the self-managing Future Internet (ISG AFI) of the European Telecommunications Standards Institute.

  7. 7.

    Unfortunately, according to the author’s observations, even though “autonomicity” gains more and more recognition among the experts seeking for the proper expression of their intended meaning, this term appears not to be very well received by the native English language speakers and should be used rather carefully, if at all.

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Wódczak, M. (2014). Autonomic Computing and Networking. In: Autonomic Computing Enabled Cooperative Networked Design. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0764-9_2

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  • DOI: https://doi.org/10.1007/978-1-4939-0764-9_2

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  • Publisher Name: Springer, New York, NY

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