Blockchain – Hyperledger Technology Architecture Viewpoint

The diagram below represents technology architecture viewpoint of hyperledger blockchain framework:

Figure 1. Hyperledger technology architecture viewpoint

Hyperledger framework comprises of four key services/modules at a broader level. They are following:

• Membership services. Membership services comprise of components such as following:
  • Registration: Registers/enrolls the new users
  • Identity management: Manages identity of the users
  • Audit management
• Blockchain services: Blockchain services comprise of following components used to manage consensus, storage and transactions:
  • Consensus Manager: Used to implement consensus algorithm; Allows to plug-in extensible/customized consensus module. Consensus manager forms part of ordering service which validates the transaction using VSCC (validation system chaincode), create block of transaction and send them back to peer nodes.
  • Distributed Ledger
  • Ledger storage: Storage such as LevelDB or CouchDB can be used.
  • P2P Protocol: Involves the peer nodes which act as endorsers and committers and how they interact with each other and ordering service (consenter). Endorsers endorses the proposal by executing chaincode using ESCC (endorser system chain code).
• Chaincode services: Chain code services comprise of containers and related services which are used to execute the chain code in a secured environment.
• Client SDKs/APIs: App uses client SDKs/APIs to connect to peer nodes.

Get further details from Hyperledger documentation.

• About
• Latest Posts

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.

Latest posts by Ajitesh Kumar (see all)

• Unit Tests & Data Coverage for Machine Learning Models - May 11, 2019
• ML Models Confusion Matrix Explained with Examples - March 30, 2019
• Machine Learning Cheat sheet (Stanford) - March 23, 2019