.png){kind=icon}
返回
Characterizing Performance Limits in Payment Channel Networks
.png){kind=icon}
OA
AI
DOI：10.1109/TKDE.2021.3120842.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With their instant transaction confirmation and high scalability, payment channel networks (PCNs), running off-chain and in parallel with blockchain systems, have recently attracted a substantial amount of research attention. It has been shown that there exists a significant gap between the theoretically optimal performance and the performance achievable given the stringent privacy requirements in practice. However, it remains unclear what the fundamental performance limits and key factors involved are, which turns out to be a challenging problem due to the unique characteristics in PCNs. In this paper, we, for the first time, develop a mathematical model capturing the PCN performance, and examine the impact from a number of factors including channel capacity and transactions. We are articularly interested in obtaining the gap between the theoretically optimal performance and the performance achievable in practice, which characterizes the design space in PCNs for scheduling transactions. Specifically, we derive how different transactions and channel capacities affect the PCN performance and the performance gap. Our analytical characterization of PCNs offers an in-depth understanding on their fundamental trade-off, and provides important insights on the design of PCNs.
Keyword:
Channel capacity
Relays
Privacy
Blockchains
Upper bound
Security
Routing protocols
Blockchain
payment channel network
off-chain transaction
channel capacity
performance gap
privacy
期刊
IF:
10.4
论文数:
6.8K
被引数:
3.2W
机构
引用论文
.png){kind=icon}
分享收藏Ion pairing and interionic distances in solution. Proton magnetic resonance shifts of the butyltriphenylphosphonium ion in the presence of paramagnetic anions溶液中的离子配对和离子间距离。在顺磁性阴离子存在下丁基三苯基phosphium离子的质子磁共振位移
PREAI
分享收藏
查看更多内容