Streaming Graph Partitioning: An Experimental Study
Summary: Taxonomy and experiments on online streaming graph partitioning using a unified Flink runtime. Findings: low-cut partitioners excel for communication-heavy workloads but incur higher costs; model-agnostic approaches favor locality with lower costs in data-parallel graphs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zainab Abbas (KTH Royal Institute of Technology)
- 2. Vasiliki Kalavri (ETH Zurich)
- 3. Paris Carbone (KTH Royal Institute of Technology)
- 4. Vladimir Vlassov (KTH Royal Institute of Technology)
BibTeX Citation
@article{abbas_vldb18,
title = {{Streaming Graph Partitioning: An Experimental Study}},
author = {Abbas, Zainab and Kalavri, Vasiliki and Carbone, Paris and Vlassov, Vladimir},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1590--1603},
doi = {10.14778/3236187.3236208},
url = {https://doi.org/10.14778/3236187.3236208},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 389 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB | 0.00019386526 |
| 1,422 | State Management in Apache Flink: Consistent Stateful Distributed Stream Processing | 2017 | VLDB | 0.00010823039 |
| 1,865 | An Experimental Comparison of Partitioning Strategies in Distributed Graph Processing | 2017 | VLDB | 9.5915721e-05 |
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