Scale Protocol to Efficiently Handle 1 Million IP Assets

[kingster-will]

Description and context

We need to scale our protocol to efficiently manage and handle 1 million IP Assets (IPAs). The focus of this issue is on testing and verifying the protocol's ability to manage a large number of IPAs through the IP Graph precompile. This scalability is crucial for ensuring that our protocol can support a vast ecosystem of IP Assets without compromising on performance or reliability.

Objectives

• Testing Scalability: Conduct extensive testing to ensure that the protocol can handle 1 million IPAs efficiently. This includes load testing, stress testing, and performance benchmarking.
• Optimizing IP Graph Precompile: Focus on optimizing the IP Graph precompile to manage a large number of IPAs. This may involve algorithmic improvements, data structure optimizations, and leveraging efficient storage mechanisms.
• Ensuring Data Integrity: Verify that data integrity is maintained even when scaling to 1 million IPAs. This includes consistent tracking of IP ownership, licensing terms, and royalty distributions.
• Improving Query Performance: Ensure that queries to the IP Graph, such as retrieving IP relationships or license information, remain fast and efficient despite the increased scale.

Acceptance Criteria

• The protocol demonstrates the ability to efficiently handle 1 million IPAs through rigorous testing.
• The IP Graph precompile is optimized to manage a large number of IPAs without performance degradation.
• Data integrity and accuracy are maintained across all IPAs within the protocol.
• Query performance to the IP Graph remains fast and efficient.
• Documentation is updated to reflect the scaling enhancements, and detailed testing reports are provided.

This issue is critical for the future scalability of our protocol and its ability to support a large and dynamic ecosystem of IP Assets.