NDLI: Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times

Content Provider	IEEE Xplore Digital Library
Author	Desmeurs, D. Klein, C. Papadopoulos, A.V. Tordsson, J.
Copyright Year	2015
Description	Author affiliation: SimScale GmbH, Munich, Germany (Klein, C.) \|\| Dept. of Autom. Control, Lund Univ., Lund, Sweden (Papadopoulos, A.V.) \|\| Dept. of Comput. Sci., Umea Univ., Umea, Sweden (Desmeurs, D.; Tordsson, J.)
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.
Starting Page	1
Ending Page	12
File Size	785990
Page Count	12
File Format	PDF
e-ISBN	9781467395663
DOI	10.1109/ICCAC.2015.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Algorithm design and analysis Machine learning algorithms Admission control Machine learning Hardware Event-driven control Feedforward neural networks Time factors Tail response time Graceful performance degradation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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