Predictive Placement of Geo-Distributed Blockchain Nodes for Performance Guarantee

Junseok Lee, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang

Abstract: Blockchain-as-a-service (BaaS) in cloud datacenters is gaining widespread attention due to its high performance and privacy. However, existing BaaS solutions lack a method for deciding the proper placement of blockchain nodes across virtual machines in worldwide datacenters to achieve desired performance. Our motivating experiments show that transaction processing performance (TPS) varies ~31.6% depending on the placements. To provide an automatic placement solution for BaaS, we propose Cyan that predicts the TPS for blockchain node placements. Our evaluations on Google Cloud Platform demonstrate that Cyan improves the TPS guarantee ~2.39x compared to existing techniques.