Reliability of a System of k Nodes for High Performance Computing Applications

Author

Gottumukkala, Narasimha Raju ; Nassar, Raja ; Paun, Mihaela ; Leangsuksun, Chokchai Box ; Scott, Stephen L.

Volume

59

Issue

1

fYear

2010

fDate

3/1/2010 12:00:00 AM

Firstpage

162

Lastpage

169

Abstract

Reliability estimation of High Performance Computing (HPC) systems enables resource allocation, and fault tolerance frameworks to minimize the performance loss due to unexpected failures. Recent studies have shown that compute nodes in HPC systems follow a time varying failure rate distribution such as Weibull, instead of the exponential distribution. In this paper, we propose a model for the Time to Failure (TTF) distribution of a system of k s-independent nodes when individual nodes exhibit time varying failure rates. We also present the system reliability, failure rates, Mean Time to Failure (MTTF), and derivations of the proposed system TTF model. The model is validated using observed data on time to failure.

Keywords

Weibull distribution; distributed algorithms; fault tolerant computing; resource allocation; HPC systems; TTF distribution; Weibull distribution; exponential distribution; failure rate distribution; failure rates; fault tolerance; high performance computing; k independent nodes; mean time-to-failure; resource allocation; system reliability; time-to-failure; System reliability; Weibull distribution; system time to failure;

fLanguage

English

Journal_Title

Reliability, IEEE Transactions on

Publisher

ieee

ISSN

0018-9529

Type

jour

DOI

10.1109/TR.2009.2034291

Filename

5345696