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

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

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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.

Original language	English
Title of host publication	2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Publisher	IEEE
Pages	496-497
Number of pages	2
Volume	2016-September
ISBN (Electronic)	9781467399555
DOIs	https://doi.org/10.1109/INFCOMW.2016.7562127
Publication status	Published - 6 Sept 2016
Externally published	Yes
Event	35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, United States Duration: 10 Apr 2016 → 14 Apr 2016

Conference

Conference	35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Country/Territory	United States
City	San Francisco
Period	10/04/16 → 14/04/16

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10.1109/INFCOMW.2016.7562127

Cite this

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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.",

author = "Robert Birke and Zhan Qiu and Perez, {Juan F.} and Chen, {Lydia Y.}",

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booktitle = "2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016",

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Birke, R, Qiu, Z, Perez, JF & Chen, LY 2016, Defeating variability in cloud applications by multi-tier workload redundancy. in 2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016. vol. 2016-September, 7562127, IEEE, pp. 496-497, 35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016, San Francisco, United States, 10/04/16. 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 IEEE, 2016. p. 496-497 7562127.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Defeating variability in cloud applications by multi-tier workload redundancy

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