CEV Framework: A Central Bank Digital Currency Evaluation and Verification Framework With a Focus on Consensus Algorithms and Operating Architectures
Si Yuan Jin, Yong Xia

TL;DR
The paper introduces the CEV Framework, a comprehensive method for evaluating and verifying technical solutions for CBDC systems, focusing on consensus algorithms and operating architectures to balance system features.
Contribution
It is the first framework to recommend and verify CBDC technical solutions, enabling iterative tuning of system feature trade-offs.
Findings
Customized solutions generated by analyzing consensus components
Improved operating architectures compensate for feature trade-offs
Empirical experiments and formal proofs validate the framework
Abstract
We propose a Central Bank Digital Currency Evaluation and Verification (CEV) Framework for recommending and verifying technical solutions in the central bank digital currency (CBDC) system. We demonstrate two sub-frameworks: an evaluation sub-framework that provides consensus algorithm and operating architecture solutions and a verification sub-framework that validates the proposed solutions. Our framework offers a universal CBDC solution that is compatible with different national economic and regulatory regimes. The evaluation sub-framework generates customized solutions by splitting the consensus algorithms into several components and analyzing their impacts on CBDC systems. CBDC design involves a trade-off between system features - the consensus algorithm cannot achieve all system features simultaneously. However, we also improve the operating architectures to compensate for the weak…
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Taxonomy
TopicsDistributed systems and fault tolerance · Advanced Data Storage Technologies · Blockchain Technology Applications and Security
