Evaluating replication for parallel jobs: an efficient approach
Many modern software applications rely on parallel job processing to exploit large resource pools available in cloud and grid infrastructures. The response time of a parallel job, made of many subtasks, is determined by the last subtask that finishes. Thus, a single laggard subtask or a failure, req...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/27694
- Acceso en línea:
- https://doi.org/10.1109/TPDS.2015.2496593
https://repository.urosario.edu.co/handle/10336/27694
- Palabra clave:
- Time factors
Reliability
Correlation
Program processors
Computational modeling
Absorption
Servers
- Rights
- License
- Restringido (Acceso a grupos específicos)