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Power-Aware Cloud Brownout:: response time and power consumption control
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1364-8127
Umea Univ, Dept Comp Sci, Umea, Sweden..
Umea Univ, Dept Comp Sci, Umea, Sweden..
Lund Univ, Dept Automat Control, Lund, Sweden..
2017 (engelsk)Inngår i: 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017, s. 2686-2691Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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(1). 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.

sted, utgiver, år, opplag, sider
2017. s. 2686-2691
Serie
IEEE Conference on Decision and Control, ISSN 0743-1546
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-38791DOI: 10.1109/CDC.2017.8264049ISI: 000424696902097Scopus ID: 2-s2.0-85046161925ISBN: 978-1-5090-2873-3 (tryckt)OAI: oai:DiVA.org:mdh-38791DiVA, id: diva2:1186851
Konferanse
IEEE 56th Annual Conference on Decision and Control (CDC), DEC 12-15, 2017, Melbourne, AUSTRALIA
Tilgjengelig fra: 2018-03-01 Laget: 2018-03-01 Sist oppdatert: 2020-02-04bibliografisk kontrollert

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