Designing a Spark optimizer for adaptive, fine-grained parameter tuning to optimize performance benefits and cost-performance preferences.
The author presents a novel approach to optimizing Spark parameters by leveraging multi-objective optimization and hybrid compile-time/runtime tuning, aiming to enhance performance and adaptability to user preferences.