%0 Conference Proceedings
%T HPC-SFI: System-Level Fault Injection for High Performance Computing Systems
%+ Sino-German Joint Software Institute
%A Wang, Yanqi
%A Zhang, Qi
%A Liu, Yi
%A Qian, Depei
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Network and Parallel Computing (NPC)
%C Muroran, Japan
%Y Feng Zhang
%Y Jidong Zhai
%Y Marc Snir
%Y Hai Jin
%Y Hironori Kasahara
%Y Mateo Valero
%I Springer International Publishing
%3 Network and Parallel Computing
%V LNCS-11276
%P 103-113
%8 2018-11-29
%D 2018
%R 10.1007/978-3-030-05677-3_9
%Z Computer Science [cs]Conference papers
%X Resilience/fault-tolerance has become a key challenge for large-scale parallel systems. To ensure reliability of high performance computing systems, various kinds of techniques have been proposed, such as hardware-level fault-tolerance, checkpointing, replication, algorithm-base fault-tolerance, etc. There are also many software systems to monitor and handle system-failures, e.g. management and job-scheduling system of HPC systems. To evaluate the effectiveness of these systems, it is necessary to provide some kind of tool to inject failures in a HPC system. This paper proposes HPC-SFI, a system-level fault injection tool for HPC systems. Basically, HPC-SFI can generate three kinds of system-failures in a HPC system including in-node faults, failure in the interconnection network and failure of storage/parallel-file system. In addition, HPC-SFI can inject system-faults in pseudo-random model according to pre-defined parameters and probabilities. Preliminary experimental results demonstrate effectiveness of the tool.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-02279558/document
%2 https://inria.hal.science/hal-02279558/file/477597_1_En_9_Chapter.pdf
%L hal-02279558
%U https://inria.hal.science/hal-02279558
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-11276