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Proceedings 2017, 1(3), 188; doi:10.3390/IS4SI-2017-04024

Self-Managing Distributed Systems and Globally Interoperable Network of Clouds

C3DNA Inc., 7533 Kingsburry Ct, Cupertino, CA 95014, USA
Presented at the IS4SI 2017 Summit, Digitalization for a Sustainable Society, Gothenburg, Sweden, 12–16 June 2017.
Published: 9 June 2017
Download PDF [758 KB, uploaded 1 August 2017]

Abstract

This paper describes a new approach to autonomic computing that brings self-managing properties to applications and workflows of applications using a new computing model inspired by the functioning of the Turing Oracle Machine discussed in Alan Turing’s Thesis. This approach, based on an effective management of the knowledge about the function, the structure and the fluctuations of the managed workflow, makes it possible to create an interoperable global network of clouds that can be used to support self-provisioning workloads with auto-scaling, auto-failover and live migration, guaranteeing the required level of QoS without disrupting user experience.
Keywords: cognitive distributed computing; distributed reasoning; signaling layer; common knowledge cognitive distributed computing; distributed reasoning; signaling layer; common knowledge
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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Morana, G. Self-Managing Distributed Systems and Globally Interoperable Network of Clouds. Proceedings 2017, 1, 188.

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