asynchronous-computing

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papersSEP 10 04:00 UTC

Paper proposes personalized execution time optimization for billion-scale scheduled jobs

A research paper presents a method for timing scheduled batch jobs on large asynchronous computing platforms, where tasks such as promotional notifications and recommender pre-computation must run at the right moment. The approach personalizes execution times across very large job volumes, aiming to improve how promptly information is delivered or refreshed.

scheduling/recommender-systems/large-scale/batch-jobs