An offline demand estimation method for multi-threaded applications
Parameterizing performance models for multi-threaded enterprise applications requires finding the service rates offered by worker threads to the incoming requests. Statistical inference on monitoring data is here helpful to reduce the overheads of application profiling and to infer missing informati...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28497
- Acceso en línea:
- https://doi.org/10.1109/MASCOTS.2013.10
https://repository.urosario.edu.co/handle/10336/28497
- Palabra clave:
- Servers
Computational modeling
Time factors
Instruction sets
Maximum likelihood estimation
Estimation error
- Rights
- License
- Restringido (Acceso a grupos específicos)