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Optimized Disaster Recovery for Distributed Storage Systems: Lightweight Metadata Architectures to Overcome Cryptographic Hashing Bottleneck
🤖AI Summary
Researchers propose a new metadata-driven architecture for distributed storage systems to overcome cryptographic hashing bottlenecks during disaster recovery. The framework assigns unique identifiers to data blocks at ingestion time, enabling faster recovery without cryptographic overhead that currently slows down failover events.
Key Takeaways
- →Current distributed storage systems face operational bottlenecks during disaster recovery due to dependence on cryptographic hashing for data identification.
- →Hash-based deduplication becomes a liability during failover events when hash indexes are stale or must be rebuilt after crashes.
- →The proposed metadata-driven approach assigns globally unique identifiers to data blocks independent of content analysis.
- →This architectural shift enables instantaneous delta computation during disaster recovery without cryptographic processing overhead.
- →The solution aims to improve Recovery Time Objective (RTO) compliance for cloud-native infrastructure systems.
#distributed-storage#disaster-recovery#cryptographic-hashing#metadata#cloud-infrastructure#data-deduplication#failover#arxiv-research
Read Original →via arXiv – CS AI
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