Improve Blockchain Performance using Graph Data Structure and Parallel Mining

Jia Kan, Shangzhe Chen, Xin Huang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

26 Citations (Scopus)

Abstract

Blockchain technology is ushering in another breakout year, the challenge of blockchain still remains to be solved. This paper analyzes the features of Bitcoin and Bitcoin-NG system based on blockchian, proposes an improved method of implementing blockchain systems by replacing the structure of the original chain with the graph data structure. It was named GraphChain. Each block represents a transaction and contains the balance status of the traders. Additionally, as everyone knows all the transactions in Bitcoin system will be baled by only one miner that will result in a lot of wasted effort, so another way to improve resource utilization is to change the original way to compete for miner to election and parallel mining. Researchers simulated blockchain with graph structure and parallel mining through python, and suggested the conceptual new graph model which can improve both capacity and performance.

Original languageEnglish
Title of host publicationProceedings of 2018 1st IEEE International Conference on Hot Information-Centric Networking, HotICN 2018
EditorsLei Kai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-178
Number of pages6
ISBN (Electronic)9781538648704
DOIs
Publication statusPublished - 8 Jan 2019
Event1st IEEE International Conference on Hot Information-Centric Networking, HotICN 2018 - Shenzhen,Guangdong, China
Duration: 15 Aug 201817 Aug 2018

Publication series

NameProceedings of 2018 1st IEEE International Conference on Hot Information-Centric Networking, HotICN 2018

Conference

Conference1st IEEE International Conference on Hot Information-Centric Networking, HotICN 2018
Country/TerritoryChina
CityShenzhen,Guangdong
Period15/08/1817/08/18

Keywords

  • blockchain
  • graph chain
  • parallel mining
  • performance

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