Community Updates & Activities
How do we empower communities and maximise individual potential?
At the recent Zebu Live event, in the company of forward-thinking leaders like CEO Sara from LightCycle and Digimental of HAPE, we discussed the pivotal role of collaborative empowerment in transforming the fashion and AR industries.
https://twitter.com/Caduceus_CMP/status/1712481907290915268
Don’t forget to uncover game-changing moments at EDGE Summit? Dive into the action with our exclusive recap!
Explore more: https://bloomberg.com/press-releases/2023-10-10/vertex-labs-hosts-world-s-largest-edge-global-ai-web3-investment-summit-in-hong-kong?utm_source=website&utm_medium=share&utm_campaign=mobile_web_share
Caduceus Technology Weekly Report
TestNe V2.0 (Pegasus) Development
- MetaRing GatewayNode:
- Performance Testing: Integrated testing for MetaRing’s retransmission confirmation; tested Nonce rate and data initialization after MetaNebula restart.
- Functionality Testing: Added overall functionality testing; integrated testing with metaring, net, sentry, nebula.
- Fixes: Resolved the issue of “not proceeding further in MetaRing due to too few transactions” and added a timeout mechanism.
- MetaNebula VerificationNode:
- Testing: Conducted batch benchmark testing for GlobalState’s setBalance/setNonce operations.
- Optimization: Optimized GlobalState, batch updates during block commit, resulting in a 30% improvement in balance nonce query speed.
- Additions: Improved trie.Commit speed.
- Additions: Adapted a new Signer for EVM execution, optimizing EVM execution speed.
- Optimization: Improved execution speed of StateDB’s state.Commit, though speed improvement is not significant due to it primarily involving trie operations that cannot be parallelized.
- MetaVM Submodule:
- Investigated the reasons for the discrepancy in sequential execution efficiency compared to GlobalStateDB and gradually broke down the time consumption of function calculations.
- Optimized the code structure to reduce transaction execution time.
- Merged code and resolved code conflicts, then retested serial execution efficiency: approximately 3 seconds are now required to execute around 100,000 transactions.
- Partially improved parallel execution efficiency.
