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SEMROD: Secure and Efficient MapReduce Over Hybrid Clouds

Summary: Sensitive-data-aware MapReduce on hybrid clouds enables public machines to contribute compute without exposing private data. Tracks sensitive intermediate keys to drive dynamic scheduling, preventing leakage; scales from single to multi-phase MR (e.g., Hive) with strong gains even at 50% sensitive data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4961
Venue
SIGMOD
Year
2015
Pagerank
5.5107787e-05
Overall Rank
5,425 | 62.27%
DOI
10.1145/2723372.2723741

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