A Blockchain-Based Storage System with Financial Incentives for Load-balancing

Hao Yin, Zijian Zhang, Liehuang Zhu, Meng Li, Xiaojiang Du, Mohsen Guizani, Bakh Khoussainov

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Most storage systems adopt distributed architecture to reach high reliability. In these distributed systems, a well-balanced data distribution can improve storage reliability. However, existing schemes rely on dealers to distribute data, bring back the risk of single-point failure again. In this paper, we propose a blockchain-based storage system with financial incentives for load-balancing. Nodes in the system are rational and compete for data to earn a reward. The only source of storage rewards is from users' payment for leasing storage. To reach load-balancing, we design a new incentive scheme, which contains an income function to reward the nodes who own proper data and punish the nodes who own excessive data. In the system, each node continuously generates a proof of storage. We present a chain structure using the proofs to detect node failures and record data distribution. The state of distribution could be taken as input to the income function for reward allocation. We decouple the role of nodes from miners to reduce their workload, making the system more compatible. Our simulation experiments show efficient performance in the data distribution. The system can always recover to a balanced status as the blockchain grows up.

Original languageEnglish
Article number9244580
Pages (from-to)1178-1188
Number of pages11
JournalIEEE Transactions on Network Science and Engineering
Volume8
Issue number2
DOIs
StatePublished - 1 Apr 2021

Keywords

  • Blockchain-based storage
  • financial incentives
  • game theory
  • load-balancing
  • reward allocation.

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