A multi-node collaborative storage strategy via clustering in blockchain network

Mengya Li, Yang Qin*, Bing Liu, Xiaowen CHU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

—Blockchain is essentially a distributed ledger shared by all nodes in the system. All nodes in blockchain are equal, and each node holds all transactions and blocks in the network. As the network continues to expand, the data rises linearly. Participates are about to face the problem of storage limitation. Blockchain is hard to scale. This paper introduces ICIStrategy, a multi-node collaborative storage strategy based on intra-cluster integrity. In ICIStrategy, we divide all participates into several clusters. Each cluster requires holding all data of the network, whereas a node within the cluster does not need to maintain data integrity. It aims to solve the storage pressure by reducing the amount data that each participate need to store and reduce communication overhead by collaboratively storing and verifying blocks through in-cluster nodes. Moreover, the ICIStrategy could greatly save the overhead of bootstrapping. We show the mode of operation in our strategy. We further analysis the performance of ICIStrategy and conduct simulation experiments. The results of several comparative experiments show that our strategy just needs 25% of storage space needed by Rapidchain, which indeed solve the problem of storage limitation and improve the blockchain performance.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1275-1280
Number of pages6
ISBN (Electronic)9781728170022
DOIs
Publication statusPublished - Nov 2020
Event40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 - Singapore, Singapore
Duration: 29 Nov 20201 Dec 2020

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2020-November

Conference

Conference40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020
Country/TerritorySingapore
CitySingapore
Period29/11/201/12/20

Scopus Subject Areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

User-Defined Keywords

  • Clustering
  • Node collaboration
  • Storage limitation
  • —blockchain

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