Predicting Runtime in Spark‐Like Systems With Allocation‐Aware Deterministic Models
This work presents the first deterministic approach for modeling Spark application execution time under dynamic executor allocation, and the proposed models are lightweight, interpretable, and require minimal input data, offering a practical alternative for performance prediction and resource optimization in distribute...