Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud
Summary: Cost-effective, workload-adaptive migration of large, multi-system big data stacks to the cloud. Goal-driven framework with concrete system architecture, cloud-mapping options, and a demonstration script showing real-world use cases to plan, design, and validate cloud adoption across on-prem, private, public, and hybrid deployments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Victor Giannakouris (Unravel Data Systems)
- 2. Alejandro Fernandez (Unravel Data Systems)
- 3. Alkis Simitsis (Unravel Data Systems)
- 4. Shivnath Babu (Unravel Data Systems)
BibTeX Citation
@inproceedings{giannakouris_sigmod19,
title = {{Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud}},
author = {Giannakouris, Victor and Fernandez, Alejandro and Simitsis, Alkis and Babu, Shivnath},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320240},
url = {https://dl.acm.org/doi/10.1145/3299869.3320240},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 735 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB | 0.00014522606 |
| 2,240 | PerfEnforce Demonstration: Data Analytics with Performance Guarantees | 2016 | SIGMOD | 8.8846115e-05 |
| 2,958 | WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases | 2016 | VLDB | 7.9197796e-05 |
| 4,987 | Releasing Cloud Databases from the Chains of Performance Prediction Models | 2017 | CIDR | 6.4112736e-05 |
| 11,829 | Automated Performance Management for the Big Data Stack | 2019 | CIDR | 5.093636e-05 |
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