반응표면분석을 이용한 PoN 블록체인 시스템 합의품질 개선

Abstract

Purpose: The purpose of this study was to suggest an improved version of Proof-of-Nonce (PoN) algorithm, which <br>is a distributed consensus algorithm used for block chain system. <br>Methods: First, we used response surface method for design of experiment that is to generate experimental points <br>considering non-linear relationship among variables. Then, we employed overlapped contour plots for visualizing <br>the impact of control variables to performance target. <br>Results: First, we modified the consensus procedure of the existing PoN algorithm by diminishing the content of <br>the exchanged message. Then, we verified the performance improvement of the new PoN algorithm by performing <br>a numerical experiment and paired t-test. Finally, we established new regression models for consensus time and <br>Transactions per second (TPS) and proposed a method for optimizing control variables for obtaining performance <br>target. <br>Conclusion: We could improve the performance of the previous version of PoN algorithm by modifying the content <br>of the exchanged message during 4-steps of consensus procedure, which might be a stepping stone for designing <br>an efficient and effective consensus algorithm for blockchain system with dynamic operation environment.