Power-aware cloud brownout : Response time and power consumption control
(2018) 56th IEEE Annual Conference on Decision and Control, CDC 2017 2018-January. p.2686-2691- Abstract
Cloud computing infrastructures are powering most of the web hosting services that we use at all times. A recent failure in the Amazon cloud infrastructure made many of the website that we use on a hourly basis unavailable1. This illustrates the importance of cloud applications being able to absorb peaks in workload, and at the same time to tune their power requirements to the power and energy capacity offered by the data center infrastructure. In this paper we combine an established technique for response time control-brownout-with power capping. We use cascaded control to take into account both the need for predictability in the response times (the inner loop), and the power cap (the outer loop). We execute tests on real... (More)
Cloud computing infrastructures are powering most of the web hosting services that we use at all times. A recent failure in the Amazon cloud infrastructure made many of the website that we use on a hourly basis unavailable1. This illustrates the importance of cloud applications being able to absorb peaks in workload, and at the same time to tune their power requirements to the power and energy capacity offered by the data center infrastructure. In this paper we combine an established technique for response time control-brownout-with power capping. We use cascaded control to take into account both the need for predictability in the response times (the inner loop), and the power cap (the outer loop). We execute tests on real machines to determine power usage and response times models and extend an existing simulator. We then evaluate the cascaded controller approach with a variety of workloads and both open-and closed-loop client models.
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- author
- Papadopoulos, Alessandro Vittorio LU ; Krzywda, Jakub ; Elmroth, Erik and Maggio, Martina LU
- organization
- publishing date
- 2018-01-18
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
- volume
- 2018-January
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 56th IEEE Annual Conference on Decision and Control, CDC 2017
- conference location
- Melbourne, Australia
- conference dates
- 2017-12-12 - 2017-12-15
- external identifiers
-
- scopus:85046161925
- ISBN
- 9781509028733
- DOI
- 10.1109/CDC.2017.8264049
- language
- English
- LU publication?
- yes
- id
- 4979ecd5-0bac-4e19-aff9-0806fb5104f2
- date added to LUP
- 2018-05-15 14:00:44
- date last changed
- 2022-04-25 07:25:13
@inproceedings{4979ecd5-0bac-4e19-aff9-0806fb5104f2,
abstract = {{<p>Cloud computing infrastructures are powering most of the web hosting services that we use at all times. A recent failure in the Amazon cloud infrastructure made many of the website that we use on a hourly basis unavailable<sup>1</sup>. This illustrates the importance of cloud applications being able to absorb peaks in workload, and at the same time to tune their power requirements to the power and energy capacity offered by the data center infrastructure. In this paper we combine an established technique for response time control-brownout-with power capping. We use cascaded control to take into account both the need for predictability in the response times (the inner loop), and the power cap (the outer loop). We execute tests on real machines to determine power usage and response times models and extend an existing simulator. We then evaluate the cascaded controller approach with a variety of workloads and both open-and closed-loop client models.</p>}},
author = {{Papadopoulos, Alessandro Vittorio and Krzywda, Jakub and Elmroth, Erik and Maggio, Martina}},
booktitle = {{2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017}},
isbn = {{9781509028733}},
language = {{eng}},
month = {{01}},
pages = {{2686--2691}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Power-aware cloud brownout : Response time and power consumption control}},
url = {{http://dx.doi.org/10.1109/CDC.2017.8264049}},
doi = {{10.1109/CDC.2017.8264049}},
volume = {{2018-January}},
year = {{2018}},
}