JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2023, Vol. 58 ›› Issue (7): 88-96.doi: 10.6040/j.issn.1671-9352.0.2021.681

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Optimization of blockchain sharding by profit incentive algorithm based on edge computing

Yun LIU(),Pengjun ZHU*(),Luyao CHEN,Kai SONG   

  1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Received:2021-10-14 Online:2023-07-20 Published:2023-07-05
  • Contact: Pengjun ZHU E-mail:liuyun@kmust.edu.cn;1728137634@qq.com

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Abstract:

A Profit Incentive (PI) algorithm is proposed. First, the delay and energy consumption of a block generated by a single node are calculated, and the final profit of the node is calculated according to the delay and energy consumption. Next, the average partition credibility of the node is calculated according to the credibility model based on edge computing. Next, the node chooses the partition that can maximize its profit without reducing the other nodes′ profit and average partition credibility. Finally, a stable sharding structure is obtained to maximize the profit of all nodes and the reliability of sharding. Simulation results show that, compared with OmniLedger, domain based sharding scheme and credibility based blockchain algorithm, PI algorithm can improve the stability of blockchain sharding without reducing throughput.

Key words: edge computing, blockchain, sharding, stability

CLC Number: 

  • TP393

Fig.1

Reliability model based on edge computing"

Fig.2

Appended correct outputs under different malicious node proportion"

Fig.3

Total throughput under different number of nodes"

Fig.4

Average block delay under different number of nodes"

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