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Our solution to loop coordination is based on machine learning and it selects a policy for the activation of loops inside of a system without prior knowledge.
Nowadays, the same piece of code should run on different architectures, providing performance guarantees in a variety of environments and situations.
This article proposes a software approach to reconfiguration when different strategies, called loops, are encapsulated in the system and are available to be ...
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Our solution to loop coordination is based on machine learning and it selects a policy for the activation of loops inside of a system without prior knowledge.
People also ask
The development of self-adaptive software requires the engineering of proper feedback loops where an adaptation logic controls the underlying software.
Mar 16, 2021 · In [52], the authors extend MAPE-based feedback loops with support for intra-loop and inter-loop coordination. Another characteristic example is ...
The flexibility and abstractness of our framework allow us to model any adaptation strategy and coordination schema of control loops, and to discover and ...
Self-adaptive systems therefore can often be considered as adding closed-loop control, where the self-adaptive elements are the control and the system being ...
To avoid problems like conflicts, race conditions and oscillations, this paper proposes a solution based on a negotiation loop that attempts to find one ...