Distributed Troubleshooting Agents

Author

Earl, Charles ; Remolina, Emilio ; Ong, Jim ; Brown, John

Author_Institution

Stottler Henke Associates Inc., San Mateo, CA

fYear

2005

fDate

13-16 June 2005

Firstpage

365

Lastpage

366

Abstract

Key issues to address in autonomic job recovery for cluster computing are recognizing job failure; understanding the failure sufficiently to know if and how to restart the job; and rapidly integrating this information into the cluster architecture so that the failure is better mitigated in the future. The agent based high availability (ABHA) system provides an API and a collection of services for building autonomic batch job recovery into cluster and grid computing environments. An agent API allows users to define agents for failure diagnosis and recovery. It is currently being evaluated in the U.S. Department of Energy´s STAR project

Keywords

application program interfaces; fault diagnosis; grid computing; software agents; software fault tolerance; system recovery; workstation clusters; ABHA system; STAR project; US Department of Energy; agent API; agent based high availability system; application program interface; batch job recovery; cluster architecture; cluster computing; distributed troubleshooting agents; failure diagnosis; failure mitigation; failure recovery; grid computing; job failure recognition; job restarting; Application software; Availability; Buildings; Computer architecture; Computer languages; Computer networks; Distributed computing; Grid computing; Java; Job production systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Autonomic Computing, 2005. ICAC 2005. Proceedings. Second International Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7965-2276-9

Type

conf

DOI

10.1109/ICAC.2005.25

Filename

1498098