Global markets continue to struggle to find direction. #BTC and #ETH continue to move in correlation with global markets, with the expectation of a relief rally in the markets. The most talked about topics of the day were $OM $T and $TRUMP

Aside from these developments, new technologies and developments continue to take place. Now we will try to understand one of the advanced features of Autonomys Network, which is doing great things in the field of Artificial Intelligence. Enjoy your reading.

Autonomys Network offers a robust and scalable Distributed Storage Network (DSN) designed to persistently store blockchain history across a network of farmers. The DSN ensures that all chain data, regardless of size, remains retrievable, load-balanced, fault-tolerant and storage-consistent across heterogeneous farming nodes.

The key features of DSN are:

Permissionless Operation: DSN operates without centralized coordination, adapting to dynamic farmer availability and unpredictable data growth.

Retrievability: Both full and partial data retrieval are supported and load is evenly distributed to avoid bottlenecks.

Verifiability: Farmers do not need to store the entire history to verify data and integrity is efficiently maintained.

Resilience: DSN minimizes the risks of data loss, whether accidental or malicious.

Uniformity: Data chunks are distributed evenly on average, balancing the storage load.

Autonomys uses a multi-tier architecture for DSN:

(L3) CDN Layer: Operated by a network of permissioned nodes, this Content Delivery Network provides fast access under optimal conditions, emulating web2-like streaming performance.

(L2) Fragment Cache: Uses a Distributed Hash Table (DHT) to cache uncoded data chunks close to similar peer IDs, thus reducing fetch latency and decoding overhead.

(L1) Archive Storage: The backbone of the DSN, this layer securely stores encoded historical data on a long-term basis and is only used when L2 retrieval fails.

Additional cache types include node, farmer and object caches to handle segment transitions, peer proximity and user-loaded data respectively.

To maintain storage replication, Autonomys uses an on-chain algorithm that dynamically adjusts storage and block costs based on supply and demand. While this system was developed independently, it shares similarities with solutions like Tiramisu by offering a balanced approach to performance, availability and security.