Programmability and Data Control
The Walrus Protocol enables programmability in decentralized storage, allowing smart contracts to directly reference or trigger data stored on the chain. This capability transforms NFTs and other digital assets into true Web3 assets, increasing their value and utility.
Enhanced Data Access and Deletion
Unlike other storage protocols, Walrus allows clients to modify or delete data such as their settings. This flexibility is critical for organizations and conditions where sensitive information is controlled, making Walrus a versatile solution for various use cases.
Impact of Walrus Protocol on the Sui Ecosystem
Symbiotic Relationship with the Sui Network
The Walrus Protocol complements the Sui Network by providing a robust storage stack that enhances applications built on Sui. This integration not only supports a portion of the network but also positively impacts the SUI governance token, creating a deflationary asset through increased usage.
Expanding the Reach of Sui Tokens
As the Walrus Protocol gains momentum, it expands the demand for Sui tokens beyond the Sui Network. This external demand has the potential to make Sui tokens a more attractive asset and further solidifies Walrus's role as a bridge for Sui's multifaceted expansion.
How does Walrus work?
The system stores large digital files (videos, images, AI models, etc.) as "blobs" and distributes this data to different nodes on the network by separating it using a deletion encoding method. This ensures high data availability, low cost, and resilience against data loss. With the redesign of Walrus, developers can directly publish data to smart contracts on the blockchain.
Blockchains support decentralized computation through the State Machine Replication (SMR) paradigm. However, they are practically limited to distributed applications that require little data for operation. Since SMR requires all validators to replicate data fully, it results in a large replication factor ranging from 100 to 1000, depending on the number of validators in each blockchain.
While full data replication is practically needed for computing on state, it introduces substantial over- head when applications only need to store and retrieve binary large objects (blobs) not computed upon1. Dedicated decentralized storage networks emerged to store blobs more efficiently. For example, early networks like IPFS offer robust resistance to censorship, enhanced reliability and availability during faults, via replication on only a small subset of nodes “.
Decentralized blob storage is invaluable to modern decentralized applications. We highlight the fol- lowing use-cases:
• Digital assets, managed on a blockchain, such as non fungible tokens (NFTs) need high integrity and availability guarantees provided by decentralized blob stores. The current practice of storing data off- chain on traditional stores only secures metadata, while the actual NFT data remains vulnerable to removal or misrepresentation depending on the browser2.
• Digital provenance of data assets is also increasingly important in the age of AI: to ensure the authen- ticity of documentary material; to ensure training data sets are not manipulated or polluted; and to certify that certain models generated specific instances of data .These applications benefit from authenticity, traceability, integrity and availability decentralized stores provide out of the box.
• Decentralizedapps,whetherweb-basedorasbinaries,needtobedistributedfromdecentralizedstores. Today the majority of decentralized apps rely on traditional web hosting to serve their front ends and client side code, which offers poor integrity and availability. Decentralized stores may be used to serve web and dapps content directly while ensuring its integrity and availability. Similarly, decentralized stores can ensure binary transparency for software and support the storage needs of full pipelines of reproducible builds to support the strongest forms of software auditing and chain of custody.
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