EventsDIGITALISATION FOR A SUSTAINABLE SOCIETY
Published
This submission belongs to the session Symposium 3. Cognitive Distributed Computing and its Impact on IT (Information Technology) as We Know It of the event DIGITALISATION FOR A SUSTAINABLE SOCIETY
Published date
09 Jun, 2017
Citation
Eugene Eberbach, State of the Art of Information Technology Computing Models for Autonomic Cloud Computing, in Proceedings of DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, 12 June–16 June 2017, MDPI: Basel, Switzerland, doi: 10.3390/IS4SI-2017-04028
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State of the Art of Information Technology Computing Models for Autonomic Cloud Computing

1. Dept. of Computer Science and Robotics Engineering Program, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609-2280, USA
Abstract

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
Manuscript
Singularities and Cognitive Computing
Symbolic Information In Computing Devices