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Proceedings 2017, 1(3), 190; doi:10.3390/IS4SI-2017-04028

State of the Art of Information Technology Computing Models for Autonomic Cloud Computing

Department of Computer Science and Robotics Engineering Program, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609-2280, USA
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.
Published: 8 June 2017
(This article belongs to the Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY)
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Abstract

In the paper we present several models of computation for autonomic cloud computing. In particular, we justify that for autonomic cloud computing if we require perfect self-reflection, we need models of computation going beyond Turing machines. To approximate self-reflection, models below Turing machines are sufficient. The above claims are illustrated using as an example the DIME Network Architecture.
Keywords: autonomic cloud computing; Turing machine; incompleteness; self-reflection; superTuring machines; DIME network architecture autonomic cloud computing; Turing machine; incompleteness; self-reflection; superTuring machines; DIME network architecture
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Eberbach, E. State of the Art of Information Technology Computing Models for Autonomic Cloud Computing. Proceedings 2017, 1, 190.

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