Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times
(2015) 2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC) p.1-12- Abstract
- Data centers currently waste a lot of energy, due to lack of energy proportionality and low resource utilization, the latter currently being necessary to ensure application responsiveness. To address the second concern we propose a novel application-level technique that we call event-driven Brownout. For each request, i.e., in an event-driven manner, the application can execute some optional code that is not required for correct operation but desirable for user experience, and does so only if the number of pending client requests is below a given threshold. We propose several autonomic algorithms, based on control theory and machine learning, to automatically tune this threshold based on measured application 95th percentile response times.... (More)
- Data centers currently waste a lot of energy, due to lack of energy proportionality and low resource utilization, the latter currently being necessary to ensure application responsiveness. To address the second concern we propose a novel application-level technique that we call event-driven Brownout. For each request, i.e., in an event-driven manner, the application can execute some optional code that is not required for correct operation but desirable for user experience, and does so only if the number of pending client requests is below a given threshold. We propose several autonomic algorithms, based on control theory and machine learning, to automatically tune this threshold based on measured application 95th percentile response times. We evaluate our approach using the RUBiS benchmark which shows a 11-fold improvement in maintaining response-time close to a set-point at high utilization compared to competing approaches. Our contribution is opening the path to more energy efficient data-centers, by allowing applications to keep response times close to a set-point even at high resource utilization. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7852854
- author
- Desmeurs, David ; Klein, Cristian ; Papadopoulos, Alessandro Vittorio LU and Tordsson, Johan
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2015 International Conference on Cloud and Autonomic Computing (ICCAC)
- pages
- 12 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC)
- conference location
- Cambridge, MA, United States
- conference dates
- 2015-09-21
- external identifiers
-
- scopus:84962045611
- wos:000380476500001
- ISBN
- 978-1-4673-9566-3
- DOI
- 10.1109/ICCAC.2015.25
- project
- EIT_VR CLOUD Cloud Control
- language
- English
- LU publication?
- yes
- id
- e91f3fbb-0ca4-4016-8b2d-e2f138cab9bf (old id 7852854)
- date added to LUP
- 2016-04-04 14:39:03
- date last changed
- 2022-03-31 22:58:07
@inproceedings{e91f3fbb-0ca4-4016-8b2d-e2f138cab9bf,
abstract = {{Data centers currently waste a lot of energy, due to lack of energy proportionality and low resource utilization, the latter currently being necessary to ensure application responsiveness. To address the second concern we propose a novel application-level technique that we call event-driven Brownout. For each request, i.e., in an event-driven manner, the application can execute some optional code that is not required for correct operation but desirable for user experience, and does so only if the number of pending client requests is below a given threshold. We propose several autonomic algorithms, based on control theory and machine learning, to automatically tune this threshold based on measured application 95th percentile response times. We evaluate our approach using the RUBiS benchmark which shows a 11-fold improvement in maintaining response-time close to a set-point at high utilization compared to competing approaches. Our contribution is opening the path to more energy efficient data-centers, by allowing applications to keep response times close to a set-point even at high resource utilization.}},
author = {{Desmeurs, David and Klein, Cristian and Papadopoulos, Alessandro Vittorio and Tordsson, Johan}},
booktitle = {{2015 International Conference on Cloud and Autonomic Computing (ICCAC)}},
isbn = {{978-1-4673-9566-3}},
language = {{eng}},
pages = {{1--12}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times}},
url = {{https://lup.lub.lu.se/search/files/6409000/8515021.pdf}},
doi = {{10.1109/ICCAC.2015.25}},
year = {{2015}},
}