Defeating variability in cloud applications by multi-tier workload redundancy

Robert Birke; Zhan Qiu; Juan F. Perez; Lydia Y. Chen

doi:10.1109/INFCOMW.2016.7562127

Defeating variability in cloud applications by multi-tier workload redundancy

Título traducido de la contribución: Superación de la variabilidad de las aplicaciones en la nube gracias a la redundancia de cargas de trabajo de varios niveles

Robert Birke, Zhan Qiu, Juan F. Perez, Lydia Y. Chen

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

1 Cita (Scopus)

Resumen

La redundancia de cargas de trabajo surge como un método eficaz para garantizar los objetivos de calidad de servicio (QoS), especialmente la latencia de cola, en entornos con gran variabilidad de capacidad, como las nubes. Sin embargo, se han estudiado la mayoría de las estrategias de replicación de un solo nivel, mientras que las arquitecturas de varios niveles son una opción muy popular en las aplicaciones desplegadas en la nube. En este póster aumentamos la conciencia sobre los desafíos de diseñar una estrategia de replicación de múltiples niveles y sus posibles beneficios a través de una mejora de la latencia de cola de 2.3X en una aplicación ejemplar del mundo real.

Título traducido de la contribución	Superación de la variabilidad de las aplicaciones en la nube gracias a la redundancia de cargas de trabajo de varios niveles
Idioma original	Inglés estadounidense
Título de la publicación alojada	2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	496-497
Número de páginas	2
Volumen	2016-September
ISBN (versión digital)	9781467399555
DOI	https://doi.org/10.1109/INFCOMW.2016.7562127
Estado	Publicada - sep. 6 2016
Publicado de forma externa	Sí
Evento	35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, Estados Unidos Duración: abr. 10 2016 → abr. 14 2016

Conferencia

Conferencia	35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
País/Territorio	Estados Unidos
Ciudad	San Francisco
Período	4/10/16 → 4/14/16

Áreas temáticas de ASJC Scopus

Ciencia de la Computación General
Ingeniería eléctrica y electrónica

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10.1109/INFCOMW.2016.7562127

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Birke, R., Qiu, Z., Perez, J. F., & Chen, L. Y. (2016). Defeating variability in cloud applications by multi-tier workload redundancy. En 2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 (Vol. 2016-September, pp. 496-497). Artículo 7562127 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2016.7562127

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title = "Defeating variability in cloud applications by multi-tier workload redundancy",

abstract = "Workload redundancy emerges as an effective method to guarantee quality of service (QoS) targets, especially tail latency, in environments with strong capacity variability such as clouds. Nevertheless mostly single-tier replication strategies have been studied, while multi-tier architectures are a very popular choice in cloud deployed applications. In this poster we raise the awareness on the challenges of devising a multi-tier replication strategy and its possible benefits through a 2.3X tail latency improvement on an exemplary real-world application.",

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Birke, R, Qiu, Z, Perez, JF & Chen, LY 2016, Defeating variability in cloud applications by multi-tier workload redundancy. En 2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016. vol. 2016-September, 7562127, Institute of Electrical and Electronics Engineers Inc., pp. 496-497, 35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016, San Francisco, Estados Unidos, 4/10/16. https://doi.org/10.1109/INFCOMW.2016.7562127

Defeating variability in cloud applications by multi-tier workload redundancy. / Birke, Robert; Qiu, Zhan; Perez, Juan F. et al.
2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016. Vol. 2016-September Institute of Electrical and Electronics Engineers Inc., 2016. p. 496-497 7562127.

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

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AB - Workload redundancy emerges as an effective method to guarantee quality of service (QoS) targets, especially tail latency, in environments with strong capacity variability such as clouds. Nevertheless mostly single-tier replication strategies have been studied, while multi-tier architectures are a very popular choice in cloud deployed applications. In this poster we raise the awareness on the challenges of devising a multi-tier replication strategy and its possible benefits through a 2.3X tail latency improvement on an exemplary real-world application.

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Defeating variability in cloud applications by multi-tier workload redundancy

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