MRShare: Sharing Across Multiple Queries in MapReduce
Summary: MRShare merges related MapReduce jobs into groups and runs them as a single query to share work across jobs. Using a MapReduce-specific cost model, it derives an optimal grouping to maximize overlap, with a Hadoop prototype demonstrating substantial cost savings. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tomasz Nykiel (University of Toronto)
- 2. Michalis Potamias (Boston University)
- 3. Chaitanya Mishra (Meta)
- 4. George Kollios (Boston University)
- 5. Nick Koudas (University of Toronto)
BibTeX Citation
@article{nykiel_vldb10,
title = {{MRShare: Sharing Across Multiple Queries in MapReduce}},
author = {Nykiel, Tomasz and Potamias, Michalis and Mishra, Chaitanya and Kollios, George and Koudas, Nick},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {494--505},
doi = {10.14778/1920841.1920905},
url = {https://doi.org/10.14778/1920841.1920905},
year = {2010}
}
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