Chipmink: Efficient Delta Identification for Massive Object Graphs
Summary: Chipmink brings DBMS-style dirty-object tracking to distributed, heterogeneous object graphs, dynamically partitioning objects into cost-aware pods for partial persistence. It supports heaps, shared memory, GPUs, and remote objects, reducing storage up to 36.5× and persistence time 12.4×. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Supawit Chockchowwat (University of Illinois Urbana-Champaign)
- 2. Sumay Thakurdesai (University of Illinois Urbana-Champaign)
- 3. Zhaoheng Li (University of Illinois Urbana-Champaign)
- 4. Matthew S. Krafczyk (University of Illinois Urbana-Champaign)
- 5. Yongjoo Park (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{chockchowwat_vldb26,
title = {{Chipmink: Efficient Delta Identification for Massive Object Graphs}},
author = {Chockchowwat, Supawit and Thakurdesai, Sumay and Li, Zhaoheng and Krafczyk, Matthew S. and Park, Yongjoo},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {4},
pages = {603--616},
doi = {10.14778/3785297.3785303},
url = {https://doi.org/10.14778/3785297.3785303},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 150 | Making Smalltalk a Database System | 1984 | SIGMOD | 0.00028930192 |
| 1,885 | Query Processing in the ObjectStore Database System | 1992 | SIGMOD | 9.4383994e-05 |
| 2,248 | Streaming Graph Partitioning: An Experimental Study | 2018 | VLDB | 8.756531e-05 |
| 3,453 | Computing Graph Edit Distance via Neural Graph Matching | 2023 | VLDB | 7.2904632e-05 |
| 5,210 | AeonG: An Efficient Built-in Temporal Support in Graph Databases | 2024 | VLDB | 6.2257162e-05 |
| 7,564 | SIEVE: Effective Filtered Vector Search with Collection of Indexes | 2025 | VLDB | 5.4955249e-05 |
| 8,532 | AirIndex: Versatile Index Tuning Through Data and Storage | 2023 | SIGMOD | 5.3217474e-05 |
| 10,146 | QStore: Quantization-Aware Compressed Model Storage | 2026 | VLDB | 5.0715586e-05 |
| 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 5.0715586e-05 |
| 10,279 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 5.0455234e-05 |
| 11,147 | Demo of Kishu: Time-Traveling for Computational Notebooks | 2025 | SIGMOD | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,307 | Vineyard: Optimizing Data Sharing in Data-Intensive Analytics | 2023 | SIGMOD |
| 2 | 1,541 | HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics | 2016 | VLDB |
| 3 | 5,584 | Efficient Main Memory Data Management Using the DBGraph Storage Model | 1990 | VLDB |
| 4 | 9,148 | In-depth Analysis of Continuous Subgraph Matching in a Common Delta Query Compilation Framework | 2024 | SIGMOD |
| 5 | 10,330 | Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs | 2022 | VLDB |
| 6 | 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB |
| 7 | 10,304 | Data Chunk Compaction in Vectorized Execution | 2025 | SIGMOD |
| 8 | 459 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB |
| 9 | 6,855 | Fast Incremental Discovery of Pointwise Order Dependencies | 2020 | VLDB |
| 10 | 8,939 | Compact, Tamper-Resistant Archival of Fine-Grained Provenance | 2021 | VLDB |