On-Demand State Separation for Cloud Data Warehousing
Summary: Introduces on-demand state separation to migrate running queries between cloud workers without discarding progress. A compiling-system implementation characterizes TPC-DS state, migration constraints, and costs, retaining flexibility without always paying stateless-execution overhead. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christian Winter (Technical University of Munich)
- 2. Jana Giceva (Technical University of Munich)
- 3. Thomas Neumann (Technical University of Munich)
- 4. Alfons Kemper (Technical University of Munich)
BibTeX Citation
@article{winter_vldb22,
title = {{On-Demand State Separation for Cloud Data Warehousing}},
author = {Winter, Christian and Giceva, Jana and Neumann, Thomas and Kemper, Alfons},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2966--2979},
doi = {10.14778/3551793.3551845},
url = {https://doi.org/10.14778/3551793.3551845},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,034 | Exploiting Cloud Object Storage for High-Performance Analytics | 2023 | VLDB | 6.8393244e-05 |
| 8,746 | CXL Memory Performance for In-Memory Data Processing | 2025 | VLDB | 5.287784e-05 |
| 9,948 | CloudJump II: Optimizing Cloud Databases for Shared Storage | 2025 | SIGMOD | 5.1038322e-05 |
| 10,857 | Interoperable ACID Transactions for Open Table Formats | 2026 | VLDB | 4.9793485e-05 |
| 11,344 | Towards Designing Future-Proof Data Processing Systems | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 29 of 29 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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