Managing Response Time Tails by Sharding

Matrix analytic methods are developed to compute the probability distribution of response times (i.e., data access times) in distributed storage systems protected by erasure coding, which is implemented by sharding a data object into N fragments, only K less than N of which are required to reconstru...

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Autores:

Tipo de recurso:

Fecha de publicación:

2019

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/23233

Acceso en línea:

https://doi.org/10.1145/3300143
https://repository.urosario.edu.co/handle/10336/23233

Palabra clave:

Multiprocessing systems
Probability distributions
Quality of service
Response time (computer systems)
Distributed storage system
Matrix analytic methods
Mean response time
Numerical results
Parallel task
Performance
Sharding
Workload intensities
Digital storage
Parallel task processing
Performance
Quality of service
Response time
Sharding

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License

Abierto (Texto Completo)