Scalable and Adaptive Online Joins
Summary: Adaptive parallel online join for arbitrary predicates, dynamically rerouting data and repartitioning state without blocking or prior workload statistics. Handles skew with eventual local/strong external consistency, amortized-constant tuple cost, and a proven 3.75-competitive distribution bound. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mohammed Elseidy (EPFL)
- 2. Abdallah Elguindy (EPFL)
- 3. Aleksandar Vitorovic (EPFL)
- 4. Christoph Koch (EPFL)
BibTeX Citation
@article{elseidy_vldb14,
title = {{Scalable and Adaptive Online Joins}},
author = {Elseidy, Mohammed and Elguindy, Abdallah and Vitorovic, Aleksandar and Koch, Christoph},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {6},
pages = {441--452},
doi = {10.14778/2732279.2732281},
url = {https://doi.org/10.14778/2732279.2732281},
year = {2014}
}
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|---|---|---|---|---|
| 1 | 1,397 | Approximate Join Processing Over Data Streams | 2003 | SIGMOD |
| 2 | 6,596 | Near-Optimal Distributed Band-Joins through Recursive Partitioning | 2020 | SIGMOD |
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| 7 | 6,410 | A Holistic View of Stream Partitioning Costs | 2017 | VLDB |
| 8 | 12,001 | Runtime Optimization of Join Location in Parallel Data Management Systems | 2017 | VLDB |
| 9 | 11,181 | Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model | 2024 | SIGMOD |
| 10 | 3,532 | Scalable Distributed Stream Join Processing | 2015 | SIGMOD |