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Delay Optimization for Consensus Communication in Blockchain-Based End-Edge-Cloud Network

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Advanced Parallel Processing Technologies (APPT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14103))

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Abstract

With the rapid development of smart IoT technology, various innovative mobile applications improve many aspects of our daily life. End-edge-cloud collaboration provides data transmission in connecting heterogeneous IoT devices and machines with improvements in high quality of service and capacity. However, the end-edge cloud architecture still remains some challenges including the risks of data privacy and tolerance transmission delay. Blockchain is a promising solution to enable data processing in a secure and efficient way. In this paper, blockchain is considered as an infrastructure of the end-edge-cloud network and the time cost of the PBFT consensus is analyzed from the perspective of the leader’s position. Considering the concurrent processing of tasks in cellular networks, multi-intelligent deep reinforcement learning is used to train the assignment strategy of the edge server. The numerical results show that the proposed method can achieve better performance improvement in terms of the time consumption of data processing.

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Acknowledgements

This work was supported by the National Key R &D Program of China under Grant 2018YFB1402700, and in part by the National Natural Science Foundation of China under Grant 61690202.

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Beijing, China

    Shengcheng Ma, Shuai Wang & Wei-Tek Tsai

  2. Digital Society and Blockchain Laboratory, Beihang University, No. 37 Xueyuan Road, Beijing, 100191, China

    Wei-Tek Tsai

  3. China Mobile Information Security Management and Operation Center, Beijing, China

    Yaowei Zhang

Authors
  1. Shengcheng Ma
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  2. Shuai Wang
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  3. Wei-Tek Tsai
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  4. Yaowei Zhang
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Corresponding author

Correspondence to Shengcheng Ma .

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Chao Li

  2. Tsinghua University, Beijing, Beijing, China

    Zhenhua Li

  3. National University of Defense Technology, Nanjing, China

    Li Shen

  4. Shanghai Jiao Tong University, Shanghai, China

    Fan Wu

  5. Nankai University, Tianjin, China

    Xiaoli Gong

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ma, S., Wang, S., Tsai, WT., Zhang, Y. (2024). Delay Optimization for Consensus Communication in Blockchain-Based End-Edge-Cloud Network. In: Li, C., Li, Z., Shen, L., Wu, F., Gong, X. (eds) Advanced Parallel Processing Technologies. APPT 2023. Lecture Notes in Computer Science, vol 14103. Springer, Singapore. https://doi.org/10.1007/978-981-99-7872-4_14

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  • DOI: https://doi.org/10.1007/978-981-99-7872-4_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7871-7

  • Online ISBN: 978-981-99-7872-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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