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Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications

Summary: Autonomously selects datasets to cache and recommends cluster configurations for in-memory iterative big-data workloads. 90% prediction accuracy; optimal/near-optimal configs in ~50% of cases; runtime to 25% and cost to 58% of baseline. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6344
Venue
SIGMOD
Year
2022
Pagerank
4.1945683e-05
Overall Rank
11,341 | 21.11%
DOI
10.1145/3514221.3517892

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