Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances
Summary: Cumulon is an elastic matrix-analytics engine for cloud spot instances, integrating computation and storage despite preemption. It jointly optimizes execution, deployment, and bidding costs while modeling price uncertainty and enforcing user-specified risk tolerance. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Botong Huang (Duke University)
- 2. Nicholas W.D. Jarrett (Duke University)
- 3. Shivnath Babu (Duke University)
- 4. Sayan Mukherjee (Duke University)
- 5. Jun Yang (Duke University)
BibTeX Citation
@article{huang_vldb16,
title = {{Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances}},
author = {Huang, Botong and Jarrett, Nicholas W.D. and Babu, Shivnath and Mukherjee, Sayan and Yang, Jun},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {3},
pages = {156--167},
doi = {10.14778/2850583.2850595},
url = {https://doi.org/10.14778/2850583.2850595},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,250 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011485301 |
| 6,939 | Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities | 2022 | SIGMOD | 5.7338637e-05 |
| 10,842 | Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price | 2025 | VLDB | 5.093636e-05 |
| 13,540 | Cümülön-D: Data Analytics in a Dynamic Spot Market | 2017 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 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 |
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