Large-Scale Data Storage Scheme in Blockchain Ledger Using IPFS and NoSQL

Randhir Kumar, Rakesh Tripathi

2020Advances in information security, privacy, and ethics book series11 citationsDOI

Abstract

The future applications of blockchain are expected to serve millions of users. To provide variety of services to the users, using underlying technology has to consider large-scale storage and assessment behind the scene. Most of the current applications of blockchain are working either on simulators or via small blockchain network. However, the storage issue in the real world is unpredictable. To address the issue of large-scale data storage, the authors have introduced the data storage scheme in blockchain (DSSB). The storage model executes behind the blockchain ledger to store large-scale data. In DSSB, they have used hybrid storage model using IPFS and MongoDB(NoSQL) in order to provide efficient storage for large-scale data in blockchain. In this storage model, they have maintained the content-addressed hash of the transactions on blockchain network to ensure provenance. In DSSB, they are storing the original data (large-scale data) into MongoDB and IPFS. The DSSB model not only provides efficient storage of large-scale data but also provides storage size reduction of blockchain ledger.

Topics & Concepts

BlockchainNoSQLComputer scienceComputer data storageDistributed data storeScale (ratio)Hash functionDatabaseBig dataInformation repositoryOperating systemComputer securityGeographyCartographyBlockchain Technology Applications and SecurityCaching and Content DeliveryCloud Computing and Resource Management