Off-the-shelf Data Analytics on Serverless
Summary: Demonstrates how to transparently run off-the-shelf distributed analytics engines on existing commercial serverless platforms (e.g., unmodified Apache Spark and Drill on AWS Lambda) by adding a thin runtime layer. Presents TPC-H results and a roadmap to make serverless a general-purpose analytics substrate. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Michael Wawrzoniak (ETH Zurich)
- 2. Gianluca Moro (ETH Zurich)
- 3. Rodrigo Bruno (INESC-ID; University of Lisbon)
- 4. Ana Klimovic (ETH Zurich)
- 5. Gustavo Alonso (ETH Zurich)
BibTeX Citation
@inproceedings{wawrzoniak_cidr24,
address = {Amsterdam, Netherlands},
series = {{CIDR} '24},
title = {{Off-the-shelf Data Analytics on Serverless}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Wawrzoniak, Michael and Moro, Gianluca and Bruno, Rodrigo and Klimovic, Ana and Alonso, Gustavo},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,121 | End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure | 2026 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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