PFCRNIMar 21, 2019

Impact of network delays on Hyperledger Fabric

arXiv:1903.08856v155 citations
Originality Incremental advance
AI Analysis

This identifies a reliability issue for businesses using Hyperledger Fabric in distributed environments, but it is incremental as it focuses on a specific scenario.

The paper investigated the impact of network delays on Hyperledger Fabric's performance, finding that delays up to 3.5 seconds caused block offsets of up to 134 seconds after 100 blocks, demonstrating insufficient consistency for critical deployments.

Blockchain has become one of the most attractive technologies for applications, with a large range of deployments such as production, economy, or banking. Under the hood, Blockchain technology is a type of distributed database that supports untrusted parties. In this paper we focus Hyperledger Fabric, the first blockchain in the market tailored for a private environment, allowing businesses to create a permissioned network. Hyperledger Fabric implements a PBFT consensus in order to maintain a non forking blockchain at the application level. We deployed this framework over an area network between France and Germany in order to evaluate its performance when potentially large network delays are observed. Overall we found that when network delay increases significantly (i.e. up to 3.5 seconds at network layer between two clouds), we observed that the blocks added to our blockchain had up to 134 seconds offset after 100 th block from one cloud to another. Thus by delaying block propagation, we demonstrated that Hyperledger Fabric does not provide sufficient consistency guaranties to be deployed in critical environments. Our work, is the fist to evidence the negative impact of network delays on a PBFT-based blockchain.

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