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/Report › Conference 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.

Translated title of the contribution	Superación de la variabilidad de las aplicaciones en la nube gracias a la redundancia de cargas de trabajo de varios niveles
Original language	English (US)
Title of host publication	2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	496-497
Number of pages	2
Volume	2016-September
ISBN (Electronic)	9781467399555
DOIs	https://doi.org/10.1109/INFCOMW.2016.7562127
State	Published - Sep 6 2016
Externally published	Yes
Event	35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, United States Duration: Apr 10 2016 → Apr 14 2016

Conference

Conference	35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Country/Territory	United States
City	San Francisco
Period	4/10/16 → 4/14/16

All Science Journal Classification (ASJC) codes

General Computer Science
Electrical and Electronic Engineering

Access to Document

10.1109/INFCOMW.2016.7562127

Cite this

@inproceedings{a40a871da58d4e7381656f8db1d0dfc2,

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.}",

year = "2016",

month = sep,

day = "6",

doi = "10.1109/INFCOMW.2016.7562127",

language = "English (US)",

volume = "2016-September",

pages = "496--497",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 ; Conference date: 10-04-2016 Through 14-04-2016",

}

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. et al.
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 contribution

TY - GEN

T1 - Defeating variability in cloud applications by multi-tier workload redundancy

AU - Birke, Robert

AU - Qiu, Zhan

AU - Perez, Juan F.

AU - Chen, Lydia Y.

PY - 2016/9/6

Y1 - 2016/9/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84988820216&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84988820216&partnerID=8YFLogxK

U2 - 10.1109/INFCOMW.2016.7562127

DO - 10.1109/INFCOMW.2016.7562127

M3 - Conference contribution

AN - SCOPUS:84988820216

VL - 2016-September

SP - 496

EP - 497

BT - 2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016

Y2 - 10 April 2016 through 14 April 2016

ER -

Defeating variability in cloud applications by multi-tier workload redundancy

Abstract

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this