Command Query Segregation is an architectural pattern that separates operations that change state from operations that read state. This division allows for distinct optimization strategies for reads and writes, enhancing system performance and maintainability. By isolating data retrieval from data modification, it streamlines development and improves the robustness of applications.
Context
In the context of distributed ledger technologies and blockchain applications, the application of Command Query Segregation is a subject of ongoing examination, particularly for optimizing the performance of smart contract execution and state querying. Discussions often revolve around its efficacy in handling high transaction volumes and ensuring data integrity across nodes.
This research introduces a novel architecture combining DIDs, ZKPs, Hyperledger Fabric, OAuth 2.0, and CQRS to forge a secure, scalable, and privacy-centric framework for decentralized multi-agent decision-making.
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