Designing Broadcast Services in Hyperledger Fabric Framework for Scalability and Performance System

Blockchain is a distributed ledger technology that has received much attention in the world. Blockchain networks allow more than one party to make transactions through a transparent and verifiable peer-to-peer protocol. Blockchain networks are divided into two types, namely public and permissioned, and one example is through the Hyperledger Fabric network, where each participant knows each other in this authenticated network and can identify each other but does not fully trust. In previous research, a blockchain architecture was applied to a purchasing information system by adopting the transactional concept of Hyperledger Fabric to solve budget transparency and transaction validation in the buying & selling process. However, in that study, there are still shortcomings where it is not clear how the channel creation and chain calling code is done, including performance and scalability issues that decrease as the number of data increases. Based on these findings, the contribution of the research is developing a blockchain architecture based on previous research by adding broadcast service and pipeline & chunking methods to handle the channel creation process, chain code calling, performance, and scalability with a focus on improving system performance along with the increasing amount of data using the broadcast service method, the number of outputs that can be done through the pipelining method, and architectural scalability by moving some critical processes to separate services.