Defeating variability in cloud applications by multi-tier workload redundancy

Conference Paper (2016)
Author(s)

Robert Birke (Zurich Lab)

Zhan Qiu (Imperial College London)

Juan F. Pérez (University of Melbourne)

Y. Chen (Zurich Lab)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/INFCOMW.2016.7562127
More Info
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Publication Year
2016
Language
English
Affiliation
External organisation
Volume number
2016-September
Pages (from-to)
496-497
ISBN (electronic)
9781467399555

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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