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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Acceso en línea: | https://repository.urosario.edu.co/handle/10336/28850 https://doi.org/10.1109/INFCOMW.2016.7562127 |
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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 |
_version_ |
1712098535077314560 |
score |
12,131701 |