The Tail at Scale.
The article discusses high-latency episodes in large online services and tail-tolerant software techniques that form a predictable whole out of less-predictable parts to reduce the episodes' effect on whole-system performance. The article notes variability in latency distribution or response time to...
| Publicado en: | Communications of the ACM Vol. 56; no. 2; pp. 74 - 81 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Feb2013
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article discusses high-latency episodes in large online services and tail-tolerant software techniques that form a predictable whole out of less-predictable parts to reduce the episodes' effect on whole-system performance. The article notes variability in latency distribution or response time to user actions can be reduced by parallelization of sub-operations across different machines. Topics include system utilization that avoids overprovisioning, performance variability, and the Google search engine. |
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