Categories: BlockChainLatest Tech

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.

 

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

Share
Published by
Ajitesh Kumar

Recent Posts

Bias-Variance Trade-off in Machine Learning: Examples

Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning…

16 hours ago

Mean Squared Error vs Cross Entropy Loss Function

Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost…

16 hours ago

Cross Entropy Loss Explained with Python Examples

Last updated: 1st May, 2024 In this post, you will learn the concepts related to…

16 hours ago

Logistic Regression in Machine Learning: Python Example

Last updated: 26th April, 2024 In this blog post, we will discuss the logistic regression…

6 days ago

MSE vs RMSE vs MAE vs MAPE vs R-Squared: When to Use?

Last updated: 22nd April, 2024 As data scientists, we navigate a sea of metrics to…

7 days ago

Gradient Descent in Machine Learning: Python Examples

Last updated: 22nd April, 2024 This post will teach you about the gradient descent algorithm…

1 week ago