ABHA: A Framework for Autonomic Job Recovery

Autor:	Chris Kuszmaul, Brad Stone, Charles C. Earl, John N. A. Brown, Emilio Remolina, Jim Ong
Rok vydání:	2004
Předmět:	Process management Computer science High availability Computer cluster Real-time computing Batch processing Key issues
Zdroj:	Utility Computing ISBN: 9783540236313 DSOM
Popis:	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 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::826a6c43b47122f737ac65303a0f1be0 https://doi.org/10.1007/978-3-540-30184-4_23 Zobrazit plný text záznamu