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The Conflict between Self-* Capabilities and Predictability

de Lemos, Rogério (2005) The Conflict between Self-* Capabilities and Predictability. In: Babaoglu, Ö., ed. Self-star Properties in Complex Information Systems: Conceptual and Practical Foundations. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 219-228. ISBN 978-3-540-26009-7. E-ISBN 978-3-540-32013-5. (doi:10.1007/11428589_15) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14356)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1007/11428589_15

Abstract

Although it would be desirable for any system to have self-* capabilities when faced with changes that might occur either in the system or its environment, there is a certain classes of systems in which the incorporation of such capabilities would be difficult to justify. These systems are mainly those that uncertainties in their behaviours are not desirable. In this paper, we discuss how the expected degree of autonomy of a system is related to the way in which a system is described, either process or data. The discussion is presented in the context of predictability. The type of system being considered are mission-critical system that are likely to restrict the degree of uncertainty associated with their behaviour, or the infrastructure that enables this behaviour.

Item Type: Book section
DOI/Identification number: 10.1007/11428589_15
Uncontrolled keywords: anomaly detection; artificial immune system; process description; immune network; emergent behaviour
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03 UTC
Last Modified: 16 Nov 2021 09:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14356 (The current URI for this page, for reference purposes)

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