v2.4.0 Stable Release

Engineering the Mesh

We believe in a web where data serves the user, not the server. Our architecture eliminates central points of failure through cryptographic guarantees.

Distributed Systems
Philosophy

Disktros is built on the principle of zero-knowledge architecture and redundant availability. We don't just move files; we ensure their survival across network partitions.

dns

Decentralized Authority

No single point of failure. Authority is distributed via a consensus mechanism that validates node integrity in real-time.

verified_user

fingerprint

Immutable Ledger

Every chunk is cryptographically signed. Data integrity is guaranteed mathematically, not by trust.

bolt

rocket_launch

Edge Acceleration

Intelligent caching at the edge reduces latency by up to 60%. Hot files are automatically replicated to high-demand zones.

terminal

Technical Specifications

CORE PROTOCOL

Parallel Sharding

Disktros splits files into 4MB chunks, hashed individually. These shards are distributed across the mesh using a modified Kademlia DHT. This ensures that even if 40% of nodes go offline, the file remains reconstructible via erasure coding.

functions

Distribution Logic

// Shard Target Node Calculation
Target_ID = SHA256(File_ID ⊕ Chunk_Index) % Network_Size

// Erasure Coding Redundancy
Min_Shards = ⌈ Total_Shards / (1 + Parity_Rate) ⌉

shard_distributor.rs

pub fn distribute_shards(file: &File, nodes: &Vec<Node>) -> Result<(), Error> {
    // Initialize Kademlia routing table
    let dht = Kademlia::new(nodes);

    for (idx, chunk) in file.chunks.iter().enumerate() {
        let hash = crypto::blake3(chunk);

        // Find k-nearest nodes to chunk hash
        let targets = dht.find_closest(hash, 20);

        match net::multicast_shard(chunk, targets).await {
            Ok(_) => log::info("Shard  deployed", idx),
            Err(e) => return Err(e),
        }
    }
    Ok(())
}

OPTIMIZATION

Smart Squeeze™

Before transmission, data undergoes context-aware compression. Our algorithm identifies data types (JSON, Media, Binary) and applies the optimal compression dictionary, achieving up to 40% smaller payloads than standard GZIP.

check_circle
Context AwarenessDetects mime-types at the byte level header.
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Zero-Copy PipelineCompression happens in-memory without disk I/O overhead.

compression_worker.js

const processStream = async (stream) => {
  const reader = stream.getReader();
  const context = new CompressionContext();

  while (true) {
    const { done, value } = await reader.read();
    if (done) break;

    // Detect pattern frequency
    const entropy = context.analyze(value);

    if (entropy < 0.4) {
      // High redundancy, use dictionary encoding
      yield context.squeezeDict(value);
    } else {
      // High entropy, fallback to Zstd
      yield zstd.compress(value, 9);
    }
  }
};

Built by engineers from

CRYPTOLABS

0xAuth

NETMESH

SOLIDITY

{RUST_FOUNDATION}