Pankaj Dashore
Sandip University

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An analytical survey of algorithms for efficient metadata indexing and search in distributed file systems Sonali Vidhate; Pankaj Dashore
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.12090

Abstract

High-performance computing (HPC) environments generate large volumes of heterogeneous data, challenging traditional metadata management in distributed file systems (DFSs). Existing portable operating system interface (POSIX)-based metadata models offer limited support for semantic queries and content-based search, leading to reliance on external crawlers or centralized services that introduce latency and scalability issues. This paper presents TagIt++, an extension of the TagIt framework, which integrates metadata indexing directly within DFS volume servers. TagIt++ introduces automated semantic metadata enrichment, locality-aware federated indexing, and secure in-situ operator execution without modifying the underlying file system. Evaluated on a 12-node HPC cluster using genomics, climate, and synthetic datasets, TagIt++ demonstrates significant improvements, including a 55% reduction in search latency, 38% higher indexing throughput, and 96% metadata coverage. Query accuracy improves by 6.7% (F1-score), while storage overhead is reduced by 25%. Ablation results confirm the effectiveness of each component.