Redundancy for multiple failure types in distributed data storage

Abstract

The present disclosure presents systems and methods for distributed data storage with enhanced redundancy to ensure high fault tolerance and data availability. A multi-layer scheme can be leveraged that combines local redundancy within datacenters and geographic redundancy across multiple locations. Data objects to be stored can be divided into shards and encrypted using error-correcting codes, such as Reed-Solomon codes, and distributed across a swarm of nodes. These nodes can be organized into nexuses and rings to attempt to optimize for factors such as redundancy and fault recovery. A centralized coordinator can oversee tasks such as shard placement, system health monitoring, and failure recovery. Such approaches can help to ensure seamless data restoration during device, node, or regional failures while providing a scalable and efficient framework for robust distributed storage.

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