Optimized Disaster Recovery for Distributed Storage Systems: Lightweight Metadata Architectures to Overcome Cryptographic Hashing Bottleneck
#Distributed Storage#Disaster Recovery#Cryptographic Hashing#Metadata Architecture#Cloud Infrastructure#Data Deduplication#Failover Events#Recovery Time Objective
📌 Key Takeaways
Researchers developed a metadata-driven framework to overcome cryptographic hashing bottlenecks in disaster recovery
Current hash-based deduplication becomes problematic during failover and failback events
The proposed system assigns unique identifiers at ingestion time for instantaneous delta computation
New approach eliminates cryptographic overhead during disaster recovery operations
📖 Full Retelling
Researchers Prasanna Kumar, Nishank Soni, and Gaurang Munje introduced a groundbreaking framework for optimizing disaster recovery in distributed storage systems in a paper submitted to arXiv on February 23, 2026, addressing a critical bottleneck in modern cloud infrastructure. Their research identifies that while cryptographic hashing-based deduplication works efficiently during normal operations, it becomes a significant liability during failover and failback events when hash indexes become stale, incomplete, or require rebuilding after system crashes. The paper precisely characterizes the operational conditions where full or partial re-hashing becomes unavoidable and analyzes how this impacts Recovery Time Objective compliance. The proposed solution shifts toward deterministic, metadata-driven identification by assigning globally unique composite identifiers to data blocks at ingestion time, independent of content analysis. This approach enables instantaneous delta computation during disaster recovery without any cryptographic overhead, potentially revolutionizing how cloud providers handle system failures and data recovery.
Maintaining or reestablishing vital information technology infrastructure
IT disaster recovery (also, simply disaster recovery (DR)) is the process of maintaining or reestablishing vital infrastructure and systems following a natural or human-induced disaster, such as a storm or battle. DR employs policies, tools, and procedures with a focus on IT systems supporting criti...
A clustered file system (CFS) is a file system which is shared by being simultaneously mounted on multiple servers. There are several approaches to clustering, most of which do not employ a clustered file system (only direct attached storage for each node). Clustered file systems can provide featu...
Cloud computing is defined by the ISO as "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on demand". It is commonly referred to as "the cloud".
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Original Source
--> Computer Science > Cryptography and Security arXiv:2602.22237 [Submitted on 23 Feb 2026] Title: Optimized Disaster Recovery for Distributed Storage Systems: Lightweight Metadata Architectures to Overcome Cryptographic Hashing Bottleneck Authors: Prasanna Kumar , Nishank Soni , Gaurang Munje View a PDF of the paper titled Optimized Disaster Recovery for Distributed Storage Systems: Lightweight Metadata Architectures to Overcome Cryptographic Hashing Bottleneck, by Prasanna Kumar and 2 other authors View PDF Abstract: Distributed storage architectures are foundational to modern cloud-native infrastructure, yet a critical operational bottleneck persists within disaster recovery workflows: the dependence on content-based cryptographic hashing for data identification and synchronization. While hash-based deduplication is effective for storage efficiency in steady-state operation, it becomes a systemic liability during failover and failback events when hash indexes are stale, incomplete, or must be rebuilt following a crash. This paper precisely characterizes the operational conditions under which full or partial re-hashing becomes unavoidable. The paper also analyzes the downstream impact of cryptographic re-hashing on Recovery Time Objective compliance, and proposes a generalized architectural shift toward deterministic, metadata-driven identification. The proposed framework assigns globally unique composite identifiers to data blocks at ingestion time-independent of content analysis enabling instantaneous delta computation during DR without any cryptographic overhead. Comments: 8 pages, 7 Tables Subjects: Cryptography and Security (cs.CR) ; Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE) ACM classes: I.2.7 Cite as: arXiv:2602.22237 [cs.CR] (or arXiv:2602.22237v1 [cs.CR] for this version) https://doi.org/10.48550/arXiv.2602.22237 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From:...
