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Preprints, Working Papers, ... Year : 2024

Scheduling distributed I/O resources in HPC systems


This paper presents a comprehensive investigation on optimizing I/O performance in the access to distributed I/O resources in high-performance computing (HPC) environments. I/O resources, such as the I/O forwarding nodes and object storage targets (OST), are shared between a subset of applications. Each application has access to a subset of them and multiple applications can access the same resources. We propose heuristics to schedule these distributed I/O resources in two steps: for a set of applications, determining the number of I/O resources each will use (allocation) and which resources they will use (placement). We discuss a wide range of required information about applications' characteristics that can be used by the scheduling algorithms. Despite the fact that a higher level of application knowledge is associated with enhanced performance, our comprehensive analysis indicates that strategic decision-making with limited information can still yield significant enhancements in most scenarios. This research provides insights into the trade-offs between the depth of application characterization and the practicality of scheduling I/O resources.
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Dates and versions

hal-04394004 , version 1 (15-01-2024)




  • HAL Id : hal-04394004 , version 1


Alexis Bandet, Francieli Boito, Guillaume Pallez. Scheduling distributed I/O resources in HPC systems. 2024. ⟨hal-04394004⟩
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