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PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics

Summary: PREDIcT predicts runtime for large-scale iterative analytics by using small sample runs plus per-iteration features aligned with dataset characteristics. It tolerates diverse convergence dynamics and high iteration-to-iteration variability (up to 100x), achieving 10-30% relative error on scale-free graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10655
Venue
VLDB
Year
2013
Pagerank
5.3702808e-05
Overall Rank
5,688 | 60.44%
DOI
-

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