IO-SETS: Simple and efficient approaches for I/O bandwidth management

Francieli Boito (1, 2) , Guillaume Pallez (1, 2) , Luan Teylo (1, 2) , Nicolas Vidal (1, 2)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 TADAAM - Topology-Aware System-Scale Data Management for High-Performance Computing

One of the main performance issues faced by highperformance platforms is the delay caused by concurrent applications performing I/O. When this happens, applications sharing the I/O bandwidth create congestion, which delays the execution time and affects the platform's overall performance. Several solutions have been proposed to tackle I/O congestion. Among those solutions, I/O scheduling strategies are an essential solution to this problem in HPC systems. Currently, their main drawback is the amount of information needed. In this work, we propose a novel framework for I/O management, IO-SETS. We present the potential of this framework through a simple scheduling solution called SET-10, an I/O scheduling solution that demands minimum information from users and can be easily integrated into HPC environments.

Domaines: Algorithme et structure de données [cs.DS]; Calcul parallèle, distribué et partagé [cs.DC]

Francieli Boito, Guillaume Pallez, Luan Teylo, Nicolas Vidal. IO-SETS: Simple and efficient approaches for I/O bandwidth management. 2022. ⟨hal-03648225v2⟩