Choreographies for Automatic Recovery
Claudio Antares Mezzina, Emilio Tuosto

TL;DR
This paper introduces a choreographic model for reversible computations that extends existing models with minimal modifications, ensuring causal consistency without complex instrumentation.
Contribution
It presents a reversible computation model based on global graphs and finite-state machines, requiring only minor decorations for reversibility.
Findings
Model guarantees causal consistency in reversible computations
Reversible semantics are a conservative extension of existing models
Minimal modifications needed for reversibility in choreographies
Abstract
We propose a choreographic model of reversible computations based on a conservative extension of global graphs and communicating finite-state machines. The main advantage of our approach is that does not require to instrument models in order to control reversibility but for a minor decoration of branches. We show that our models are conservative extensions of existing ones and that the reversible semantics guarantees causal consistency.
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Taxonomy
TopicsNeurological disorders and treatments · Functional Brain Connectivity Studies · Advanced Neuroimaging Techniques and Applications
