Analysis of Indexing Structures for Immutable Data
Summary: Assesses MPT, MBT, and POS-Tree for immutable data and shows all fit the Structurally Invariant and Reusable Indexes (SIRI) framework. Theoretical and empirical results broaden understanding of index/dedup performance; POS-Tree recommended for immutable-data workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cong Yue (National University of Singapore)
- 2. Zhongle Xie (National University of Singapore)
- 3. Meihui Zhang (Beijing Institute of Technology)
- 4. Gang Chen (Zhejiang University)
- 5. Beng Chin Ooi (National University of Singapore)
- 6. Sheng Wang (Alibaba)
- 7. Xiaokui Xiao (National University of Singapore)
BibTeX Citation
@inproceedings{yue_sigmod20,
title = {{Analysis of Indexing Structures for Immutable Data}},
author = {Yue, Cong and Xie, Zhongle and Zhang, Meihui and Chen, Gang and Ooi, Beng Chin and Wang, Sheng and Xiao, Xiaokui},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389773},
url = {https://dl.acm.org/doi/10.1145/3318464.3389773},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 485 | BLOCKBENCH: A Framework for Analyzing Private Blockchains | 2017 | SIGMOD | 0.00017474502 |
| 1,086 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2015 | CIDR | 0.0001210322 |
| 1,992 | OrpheusDB: Bolt-on Versioning for Relational Databases | 2017 | VLDB | 9.2366883e-05 |
| 2,091 | Concerto: A High Concurrency Key-Value Store with Integrity | 2017 | SIGMOD | 9.0655667e-05 |
| 2,280 | Decibel: The Relational Dataset Branching System | 2016 | VLDB | 8.7038926e-05 |
| 2,835 | Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems | 2019 | VLDB | 7.9553846e-05 |
| 3,275 | ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications | 2018 | VLDB | 7.4691437e-05 |
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