Pangea: Monolithic Distributed Storage for Data Analytics
Summary: Pangea unifies persistent, cached, and intermediate analytics data in one monolithic distributed storage system, eliminating HDFS/Alluxio/compute layering. Integrated placement, buffering, and recovery deliver performance competitive with layered Spark-based stacks. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jia Zou (Rice University)
- 2. Arun Iyengar (IBM)
- 3. Chris Jermaine (Rice University)
BibTeX Citation
@article{zou_vldb19,
title = {{Pangea: Monolithic Distributed Storage for Data Analytics}},
author = {Zou, Jia and Iyengar, Arun and Jermaine, Chris},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {6},
pages = {681--694},
doi = {10.14778/3311880.3311885},
url = {https://doi.org/10.14778/3311880.3311885},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,708 | Serving Deep Learning Models with Deduplication from Relational Databases | 2022 | VLDB | 5.7964983e-05 |
| 7,208 | TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage | 2022 | SIGMOD | 5.6727339e-05 |
| 7,311 | Lachesis: Automatic Partitioning for UDF-Centric Analytics | 2021 | VLDB | 5.6491618e-05 |
| 8,908 | Privacy and Accuracy-Aware AI/ML Model Deduplication | 2025 | SIGMOD | 5.3483178e-05 |
| 8,919 | MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying | 2023 | SIGMOD | 5.3483178e-05 |
| 10,466 | InferF: Declarative Factorization of AI/ML Inferences over Joins | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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