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/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages496-497
Number of pages2
Volume2016-September
ISBN (Electronic)9781467399555
DOIs
StatePublished - Sep 6 2016
Externally publishedYes
Event35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, United States
Duration: Apr 10 2016Apr 14 2016

Conference

Conference35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
CountryUnited States
CitySan Francisco
Period4/10/164/14/16

Fingerprint

Redundancy
Quality of service

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Birke, R., Qiu, Z., Perez, J. F., & Chen, L. Y. (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, pp. 496-497). [7562127] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2016.7562127
Birke, Robert ; Qiu, Zhan ; Perez, Juan F. ; Chen, Lydia Y. / Defeating variability in cloud applications by multi-tier workload redundancy. 2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016. Vol. 2016-September Institute of Electrical and Electronics Engineers Inc., 2016. pp. 496-497
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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, Institute of Electrical and Electronics Engineers Inc., pp. 496-497, 35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016, San Francisco, United States, 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.; Chen, Lydia Y.

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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Birke R, Qiu Z, Perez JF, Chen LY. Defeating variability in cloud applications by multi-tier workload redundancy. In 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 https://doi.org/10.1109/INFCOMW.2016.7562127