Cümülön-D: Data Analytics in a Dynamic Spot Market
Summary: Cümülön-D performs matrix analytics on volatile cloud spot instances, proactively adapting to price-driven revocations. A Markov decision process jointly optimizes execution and quantifies/controls monetary risk, validated on EC2. (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. Botong Huang (Microsoft)
- 2. Jun Yang (Duke University)
BibTeX Citation
@article{huang_vldb17,
title = {{Cümülön-D: Data Analytics in a Dynamic Spot Market}},
author = {Huang, Botong and Yang, Jun},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {8},
pages = {865--878},
doi = {10.14778/3090163.3090165},
url = {https://doi.org/10.14778/3090163.3090165},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,842 | Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,217 | Cumulon: Optimizing Statistical Data Analysis in the Cloud | 2013 | SIGMOD | 8.9332438e-05 |
| 10,099 | Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances | 2016 | VLDB | 5.1498503e-05 |
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