Defeating variability in cloud applications by multi-tier workload redundancy

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 v...

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Detalles Bibliográficos
Autores Principales: Birke, Robert, Qiu, Zhan, Pérez, Juan F., Chen, Lydia Y.
Formato: Capítulo de libro (Book Chapter)
Lenguaje:Inglés (English)
Publicado: IEEE 2016
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/28850
https://doi.org/10.1109/INFCOMW.2016.7562127
id ir-10336-28850
recordtype dspace
spelling ir-10336-288502021-09-23T05:49:51Z Defeating variability in cloud applications by multi-tier workload redundancy Derrotar la variabilidad en las aplicaciones en la nube mediante la redundancia de cargas de trabajo de varios niveles Birke, Robert Qiu, Zhan Pérez, Juan F. Chen, Lydia Y. Redundancy Encyclopedias Servers Cloud computing Quality of service Electronic mail Measurement 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. 2016-09-08 2020-08-28T15:49:55Z info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion ISBN: 978-1-4673-9956-2 EISBN: 978-1-4673-9955-5 https://repository.urosario.edu.co/handle/10336/28850 https://doi.org/10.1109/INFCOMW.2016.7562127 eng info:eu-repo/semantics/restrictedAccess application/pdf IEEE 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Redundancy
Encyclopedias
Servers
Cloud computing
Quality of service
Electronic mail
Measurement
spellingShingle Redundancy
Encyclopedias
Servers
Cloud computing
Quality of service
Electronic mail
Measurement
Birke, Robert
Qiu, Zhan
Pérez, Juan F.
Chen, Lydia Y.
Defeating variability in cloud applications by multi-tier workload redundancy
description 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.
format Capítulo de libro (Book Chapter)
author Birke, Robert
Qiu, Zhan
Pérez, Juan F.
Chen, Lydia Y.
author_facet Birke, Robert
Qiu, Zhan
Pérez, Juan F.
Chen, Lydia Y.
author_sort Birke, Robert
title Defeating variability in cloud applications by multi-tier workload redundancy
title_short Defeating variability in cloud applications by multi-tier workload redundancy
title_full Defeating variability in cloud applications by multi-tier workload redundancy
title_fullStr Defeating variability in cloud applications by multi-tier workload redundancy
title_full_unstemmed Defeating variability in cloud applications by multi-tier workload redundancy
title_sort defeating variability in cloud applications by multi-tier workload redundancy
publisher IEEE
publishDate 2016
url https://repository.urosario.edu.co/handle/10336/28850
https://doi.org/10.1109/INFCOMW.2016.7562127
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score 12,131701