RDPM: An Extensible Tool for Resilience Design Patterns Modelling

Kumar, Mohit; Engelmann, Christian

doi:10.1007/978-3-031-06156-1_23

Title: RDPM: An Extensible Tool for Resilience Design Patterns Modelling

Conference · Wed Jun 01 00:00:00 EDT 2022

DOI:https://doi.org/10.1007/978-3-031-06156-1_23· OSTI ID:1872868

Kumar, Mohit ^[1];

^[1]

ORNL

Resilience to faults, errors, and failures in extreme-scale high-performance computing (HPC) systems is a critical challenge. Resilience design patterns offer a new, structured hardware and software design approach for improving resilience. While prior work focused on developing performance, reliability, and availability models for resilience design patterns, this paper extends it by providing a Resilience Design Patterns Modeling (RDPM) tool which allows (1) exploring performance, reliability, and availability of each resilience design pattern, (2) offering customization of parameters to optimize performance, reliability, and availability, and (3) allowing investigation of trade-off models for combining multiple patterns for practical resilience solutions.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1872868

Resource Relation:: Journal Volume: 13098; Conference: 14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids - Lisbon, , Portugal - 8/30/2021 4:00:00 AM-9/3/2021 4:00:00 AM

Country of Publication:: United States

Language:: English

References (15)

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