We’re thrilled to share the upcoming release of the latest DDC Storage Node update, set to debut on the Cere Network Testnet in Q4 2023! At Cere, our dedication to advancing infrastructure aligns with our commitment to maintaining an informed and engaged community.
Key Enhancements on the Horizon:
1- Revamped Network Topology:
We’re bidding farewell to our custom-built Hash Ring-based topology solution, in favor of the industry-standard Kademlia DHT protocol . This change enhances routing, data replication, and data balancing within our decentralized Storage Node network, ensuring optimal performance at scale.
2- Native Erasure Code Support:
Introducing native support for erasure codes , a widely embraced alternative to traditional 1:1 replication. This efficient strategy minimizes disk space and bandwidth requirements, aligning with industry practices seen in both distributed (e.g. AWS S3, Ceph) and peer-to-peer storage systems, including Ethereum , Storj , and Filecoin .
3- Multiformats-based Encoding:
Embracing a unified, low-level data encoding format based on multiformats . This move facilitates flexibility and iterative support for future data encoding requirements, streamlining compatibility with older data formats without the need for intricate migrations or data loss.
4- Migration to Merkle DAG:
Transitioning to Merkle DAG for secure, distributed data streaming, which is particularly beneficial for videos and other large files exceeding 5GB stored on DDC .
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DDC Client (NodeJS): https://www.npmjs.com/package/@cere-ddc-sdk/ddc-client
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About Cere Network
Cere Network is the first Decentralized Data Cloud (DDC) platform built on Substrate and Polygon. Our mission revolves around facilitating trustless cloud data storage, integration, and data collaboration across blockchain networks. We are also deeply involved in the Web3 NFT, metaverse, and gaming content realms. Backed by esteemed institutions and projects, including Binance Labs, and Republic Labs, we are committed to driving innovation and decentralization in the data ecosystem.
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