Advertisement

Capacity Analysis and Improvement Scheme Basing on the TPS of Qtum Block Chain

  • Wenqi LiEmail author
  • Zhihuai Li
  • Fusen Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

TPS is one of the most important indicators to measure a block chain project. With the increase of TPS, the transaction volume is huge, which makes the block chain network very bulky and that will undoubtedly cause tremendous pressure on the storage of nodes. As a public block chain, the fundamental requirement is the fairness of everyone’s participation. Nodes can join or exit at will. However, in the face of huge storage pressure, some nodes cannot synchronize historical blocks and thus cannot join the network, which is obviously contrary to the original intention of the public chain. Therefore, this paper analyses Qtum from two aspects of block size and storage occupied by historical blocks, and explores the storage space occupied by historical blocks under the premise of officially announced TPS, and whether most nodes can meet the surge of capacity with the improvement of TPS in Qtum, and puts forward some suggestions for improvement.

Keywords

Qtum Public block chain TPS Block size 

References

  1. 1.
    He, P., Yu, G., Zhang, Y., Bao, Y.: Survey on block chain technology and its application prospect. Comput. Sci. 44(04), 1–7+15 (2017)Google Scholar
  2. 2.
    Wang, J., Chen, G.: Overview on blockchain fork in bitcoin. Commun. Technol. 51(01), 149–155 (2018)Google Scholar
  3. 3.
    Zhao, L.: Block chain technology and application scenario exploration. Commun. World 26(04), 298–299 (2019)Google Scholar
  4. 4.
    Pan, Y., Chen, G., Guo, N.: Research on block chain throughput improvement. Commun. Technol. 52(01), 134–140 (2019)Google Scholar
  5. 5.
    Zhang, Y.: The relationship between TPS and block chains and related exploration of solutions. China New Commun. 20(22), 65–66 (2018)Google Scholar
  6. 6.
    Jia, D., Xin, J., Wang, Z., Guo, W., Wang, G.: Efficient query method for scalable block chain system. J. Softw. 30(09), 2655–2670 (2019)Google Scholar
  7. 7.
    Ma, C., An, J., Bi, W., Qi, Y.: Smart contract in block chain. Net. Inf. Secur. 2018(11), 8–17 (2018)CrossRefGoogle Scholar
  8. 8.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Dalian Maritime UniversityDalianChina

Personalised recommendations