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Automating Distributed Tiered Storage Management in Cluster Computing

Summary: Automates distributed storage tiering across HDFS tiers with a general framework. Uses incremental ML to predict file accesses and trigger migrations, adapting to workload changes; evaluation shows gains in performance and cluster efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12434
Venue
VLDB
Year
2020
Pagerank
6.3701057e-05
Overall Rank
5,083 | 65.13%
DOI
10.14778/3357377.3357381

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{herodotou_vldb20,
        title = {{Automating Distributed Tiered Storage Management in Cluster Computing}},
        author = {Herodotou, Herodotos and Kakoulli, Elena},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {1},
        pages = {43--56},
        doi = {10.14778/3357377.3357381},
        url = {https://doi.org/10.14778/3357377.3357381},
        year = {2020}
}

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