Scientific Computing Autonomic Reliability Framework

Author

Dubey, Abhishek ; Neema, Sandeep ; Kowalkowski, Jim ; Singh, Amitoj

Author_Institution

Inst. for Software Integrated Syst., Vanderbilt Univ., Nashville, TN

fYear

2008

fDate

7-12 Dec. 2008

Firstpage

352

Lastpage

353

Abstract

Large scientific computing clusters require a distributed dependability subsystem that can provide fault isolation and recovery and is capable of learning and predicting failures, to improve the reliability of scientific workflows. In this paper, we outline the key ideas in the design of a Scientific Computing Autonomic Reliability Framework (SCARF) for large computing clusters used in the Lattice Quantum Chromo Dynamics project at Fermi Lab.

Keywords

fault diagnosis; fault tolerant computing; natural sciences computing; reliability; workflow management software; distributed dependability subsystem; fault isolation and recovery; scientific computing autonomic reliability framework; scientific workflows; Centralized control; Computer architecture; Condition monitoring; Engines; Environmental management; Fault diagnosis; Quantum computing; Resource management; Scientific computing; Software systems; Cluster Computing; Reliability; Software fault-tolerance; Workflows;

fLanguage

English

Publisher

ieee

Conference_Titel

eScience, 2008. eScience '08. IEEE Fourth International Conference on

Conference_Location

Indianapolis, IN

Print_ISBN

978-1-4244-3380-3

Electronic_ISBN

978-0-7695-3535-7

Type

conf

DOI

10.1109/eScience.2008.113

Filename

4736792