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Autonomic Cooperative System Architecture

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Autonomic Computing Enabled Cooperative Networked Design

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Abstract

Following the opening analysis of the increasingly convergent world of autonomic computing and networking, which intended to provide a comprehensive and consistent explanation of today’s role and place of autonomics, this chapter aims much more to investigate and outline certain relevant state-of-the-art architectural advancements in this very field in order to pave the ground for the introduction of the idea of Autonomic Cooperative System Architectural Model (ACSAM). In fact, first of all, the concept of Autonomic Cooperative System Architectural Model is outlined with special emphasis on the aspects related to novelty with regard to the current trends.

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Notes

  1. 1.

    In this sense, egoistic tendencies not necessarily need to be intentional or deliberate. Given the rationale behind autonomic system functioning, they should be rather expected to result from an improper design. In general, however, such a problem could be more natural for Artificial Intelligence (AI) orientated approaches.

  2. 2.

    In general, this is expected to be feasible, as long as the relevant architectural entities ensure that Autonomic Cooperative Behaviour is free of the above-mentioned egoistic tendencies.

  3. 3.

    In this sense, potentially, the notion of cooperation rather translates into the supportive class which, at least in the context of networked systems, implies more the information exchange rather than simultaneous and joint data processing, as further explained in Sect. 4.2.

  4. 4.

    In fact, the author of this book is one of the contributors to and co-authors of the final version of the GANA Reference Architecture, as he was involved in the European Union Integrated Project EU FP7 EFIPSANS (Exposing the Features in IP version Six protocols that can be exploited/extended for the purposes of designing/building Autonomic Networks and Services), and, since then, has continued the relevant work under the auspices of the European Telecommunications Standards Institute (ETSI) as a Vice-Chairman and Rapporteur of the Industry Specification Group (ISG) on Autonomic network engineering for the self-managing Future Internet (AFI).

  5. 5.

    For further reading the reader is also referred to [2, 10].

  6. 6.

    For the further explanation of the discussed distinction the reader is referred directly to the argument contained in Sect. 2.5.

  7. 7.

    Dependability, understood as the ability of a system to be trusted to perform what one needs or expects [13], is rather the term of computing. In networking, however, another capability exists, usually referred to as resilience and tightly connected with survivability which pertains much more to system durability. This way or another, it appears that dependability may be expressed as a function of resilience.

  8. 8.

    The precise role of the abstraction levels will be further elaborated in Sect. 3.4.

  9. 9.

    As it will be shown in Sect. 3.4, the network level may only exist conceptually and it is formed by elevated nodes inherently belonging to the node level at most.

  10. 10.

    In the GANA specification the Autonomic Control Loops are referred to as Hierarchical Control Loops.

  11. 11.

    One should note, however, that in the case of a protocol level DE there is no lower level DE and, instead, the Managed Entity assumes directly the form of a managed resource, usually being a relevant protocol. On the other hand, such a protocol could contain its own internal Autonomic Control Loops, yet the concept of Generic Autonomic Network Architecture does not really advocate for the introduction of protocol intrinsic ACLs for complexity related reasons.

  12. 12.

    A Decision Making Element should be perceived as a special form of a Decision Making Entity (DME), which, in fact, carries the same acronym, thus potentially creating some unintended confusion.

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Wódczak, M. (2014). Autonomic Cooperative System Architecture. 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_3

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  • DOI: https://doi.org/10.1007/978-1-4939-0764-9_3

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