A Holistic View of Stream Partitioning Costs
Summary: Holistic partitioning for pSPEs that accounts for tuple imbalance and aggregation costs in stateful streams. The proposed algorithms beat current approaches by up to an order of magnitude, highlighting cost-aware partitioning for real-time analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nikos R. Katsipoulakis (University of Pittsburgh)
- 2. Alexandros Labrinidis (University of Pittsburgh)
- 3. Panos K. Chrysanthis (University of Pittsburgh)
BibTeX Citation
@article{katsipoulakis_vldb17,
title = {{A Holistic View of Stream Partitioning Costs}},
author = {Katsipoulakis, Nikos R. and Labrinidis, Alexandros and Chrysanthis, Panos K.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
pages = {1286--1297},
doi = {10.14778/3137628.3137631},
url = {https://doi.org/10.14778/3137628.3137631},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,678 | Prompt: Dynamic Data-Partitioning for Distributed Micro-batch Stream Processing Systems | 2020 | SIGMOD | 5.2907845e-05 |
| 9,200 | Dalton: Learned Partitioning for Distributed Data Streams | 2023 | VLDB | 5.2084806e-05 |
| 10,084 | ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems | 2023 | VLDB | 5.0830849e-05 |
| 11,972 | Klink: Progress-Aware Scheduling for Streaming Data Systems | 2021 | SIGMOD | 4.9793485e-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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