Artificial Intelligence


Using Self-Awareness in Decentralized Computing Systems

Authors: Florian Maier

The term self-awareness in technological systems has been discussed many years now. There is no commonly agreed definition of the term self-aware in biological or psychological meaning therefore there are many different definitions all stating different aspects and levels of what we call self-aware in the biological world. In addition the system should be characterized by properties such as: robustness, decentralization, flexibility and self-adapting. In the past this was often achieved by designing good and robust but also complex algorithms which often lead to unnecessary overhead and hard to fix runtime bugs. Using self-aware components can turn such algorithmic systems into organic computing systems, offering better scalability, more robustness of the global state and less unnecessary overhead in the communication between different components in the decentralized system. On the counterpart such a system might work in a way that cannot be fully understood by humans in a reasonable time leading to other problems such as trust issues in the system or unwanted behavior in the global state of the system. The goal of this article is to state out how decentralized computing systems can benefit from self-aware approaches.

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[v1] 2019-03-10 16:07:44

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