A Quantitative Study on Performance of Proof of Stake (PoS)-based Blockchain Network
A new quantitative model to estimate the performance of a PoS (Proof of Stake) consensus protocol-based blockchain (e.g., Ethereum) is proposed in this paper. The proposed new PoS-based chain model has the number of validators (m) in the network as a central variable in the model such that m = 1 in PoW and m ≫ 1 in PoS. A unified binomial distribution is assumed with respect to the number of validators and then a multinomial distribution is assumed with respect to the number of transaction slots pending on the current block to be posted [14], thereby establishing a quantitative model to express the steady-state probability to have 0 ≤ i ≤ n number of trasactions slots with 1 ≤ j ≤ number of validators across the blockchain network given transaction slots arrival rate (λ) and block posting rate $\left( {\frac{\mu }{j}} \right)$ by number of validators. Extensive numerical simulations will be conducted to evaluate a few base performance metrics such as average transaction waiting time, average size of block and throughput, to mention a few. The simulation results will reveal a quantitative insight into the PoS in comparison to PoW. Ultimately, the proposed quantitative model will establish a theoretical foundation to guide the PoS-based chain developers with specific respect to performance.
Authors
- Richard L. Churchill
- Nohpill Park (ORCID: https://orcid.org/0000-0003-1669-6148)
- Jongho Seol (ORCID: https://orcid.org/0009-0007-4693-2507)
Institutions
- Oklahoma State University (US)
- Georgia State University (US)
- Middle Georgia State University (US)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1109/bcca62388.2024.10844428
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.25