A Fault Tolerance Framework for High Performance Computing in Cloud

Author

Egwutuoha, Ifeanyi P. ; Shiping Chen ; Levy, David ; Selic, Bran

Author_Institution

Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia

fYear

2012

fDate

13-16 May 2012

Firstpage

709

Lastpage

710

Abstract

Cloud computing offers new capacity and flexibility solution to high performance computing (HPC) applications with provisioning of a large number of virtual machines for computational intensive applications. Fault tolerance allows HPC systems on cloud with multiple of nodes to complete execution of computational intensive applications in the present of fault. The most commonly used fault tolerance techniques for HPC is checkpoint/restart. However, checkpoint/restart increases the wall clock time of the execution of applications which increases the execution cost. In this paper we present a fault tolerance framework for high performance computing in Cloud. This framework proposes using process level redundancy (PLR) techniques to reduce the wall clock time of the execution of computational intensive applications.

Keywords

checkpointing; cloud computing; fault tolerant computing; virtual machines; checkpoint/restart; cloud computing; computational intensive application; fault tolerance framework; flexibility solution; high performance computing; process level redundancy; virtual machines; wall clock time; Checkpointing; Circuit faults; Cloud computing; Fault tolerance; Fault tolerant systems; High performance computing; Program processors; Cloud Computing; Computational Intensive Applications; Fault tolerance; High Performance Computing (HPC); Process Level Redundant (PLR); fault tolerance;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on

Conference_Location

Ottawa, ON

Print_ISBN

978-1-4673-1395-7

Type

conf

DOI

10.1109/CCGrid.2012.80

Filename

6217495