DHT Clustering for Load Balancing Considering Blockchain Data Size

Abstract

Blockchain technology which is the fundamental system of Bitcoin running on a peer-to-peer (P2P) network, has attracted a lot of attention. This enables a practical P2P electronic money system with Byzantine fault tolerance and stability with all participating nodes having the same transaction ledger and using a distributed consensus algorithm called Proof of Work (PoW) that performs calculation work called mining. Many studies have proposed methods of enhancing scalability in terms of transaction processing of blockchain, however few studies have proposed them in term of network load in a P2P network architecture. To solve these problems, we propose a method in which all nodes are separated into mining nodes in a pure P2P network and blockchain data having nodes in a distributed hash table (DHT) network. Kademlia is incorporated as DHT network for processing responsible blocks' data for each node cluster and broadcasting efficiently. The results of a broadcast simulation show that our method improved the redundancy rate and average number of messages in the networks.