L-RIPLIB

Emerging

1papers using it

2026first seen

L-RIPLIB is an industrial-scale benchmark derived from cloud-platform workloads that contains 1,000 instances of 2,500-10,000 tasks, used to evaluate the performance of scheduling algorithms for the Resource Investment Problem (RIP).

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Papers using L-RIPLIB (1)

iScheduler: Reinforcement Learning-Driven Continual Optimization for Large-Scale Resource Investment Problems2026