Distributed Storage Data Recovery via Neighboring Peer Nodes
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Solution Overview
Problem
Distributed storage systems face challenges with low data transfer bandwidths and high access latencies, particularly in handling large volumes of data, which complicates traditional evaluation metrics like cost, persistence, bandwidth, and latency due to the remarkable growth of communications and networking.
Innovation Solution
A method and system for data recovery from an unavailable peer node in a network, where fragments of a data object are distributively stored across neighboring peer nodes, allowing for efficient recovery through intelligent management and duplication patterns, reducing network traffic and processing overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is distributively stored across multiple peer nodes, then data availability and reliability are improved, but network bandwidth consumption and access latency increase
Solution Approach 1:
The data object is divided into multiple fragments and distributed across different peer nodes in the network. Each peer node stores a portion of the data, which enables data availability improvement while the system manages network bandwidth through intelligent retrieval strategies that minimize redundant data transfer during recovery operations.
2Reliability
If data fragments are stored across multiple peer nodes, then system reliability is improved, but access latency increases
Solution Approach 1:
The system pre-establishes knowledge about fragment locations and peer node capabilities before data recovery is needed. When a peer node becomes unavailable, the system can quickly identify and retrieve fragments from alternative sources without extensive search delays, thus reducing access latency while maintaining high system reliability.
3Device complexity
If traditional storage metrics are used for evaluation, then simplicity is maintained, but adaptability to modern networking conditions deteriorates
Solution Approach 1:
The system extends traditional storage evaluation metrics by incorporating new parameters that reflect modern networking conditions, such as peer node availability, network bandwidth variability, and access latency patterns. This allows the system to adapt to remarkable growth in communications and networking while building upon established storage evaluation frameworks.
Data Source
AI summary
Example embodiments of the present invention relate to a method, a system, and a computer program product for data recovery from an unavailable peer node of a plurality of peer nodes in a network detected as unavailable. The method includes recovering from neighboring peer nodes of the plurality of peer nodes in the network neighboring the unavailable peer node a fragment of a data object distributively stored to the unavailable peer node.