Search: onr:"swepub:oai:DiVA.org:umu-132428" >
ALPACA :
-
Krzywda, Jakub,1989-Umeå universitet,Institutionen för datavetenskap,Distributed Systems,Umeå universitet, Institutionen för datavetenskap
(author)
ALPACA : Application Performance Aware Server Power Capping
- Article/chapterEnglish2018
Publisher, publication year, extent ...
-
IEEE Computer Society,2018
-
printrdacarrier
Numbers
-
LIBRIS-ID:oai:DiVA.org:umu-132428
-
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-132428URI
-
https://doi.org/10.1109/ICAC.2018.00014DOI
-
https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-86362URI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:kon swepub-publicationtype
Notes
-
Server power capping limits the power consumption of a server to not exceed a specific power budget. This allows data center operators to reduce the peak power consumption at the cost of performance degradation of hosted applications. Previous work on server power capping rarely considers Quality-of-Service (QoS) requirements of consolidated services when enforcing the power budget. In this paper, we introduce ALPACA, a framework to reduce QoS violations and overall application performance degradation for consolidated services. ALPACA reduces unnecessary high power consumption when there is no performance gain, and divides the power among the running services in a way that reduces the overall QoS degradation when the power is scarce. We evaluate ALPACA using four applications: MediaWiki, SysBench, Sock Shop, and CloudSuite’s Web Search benchmark. Our experiments show that ALPACA reduces the operational costs of QoS penalties and electricity by up to 40% compared to a non optimized system.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
-
Ali-Eldin, A.Umeå universitet,Institutionen för datavetenskap,College of Information and Computer Sciences, University of Massachusetts Amherst,Distributed Systems,Umeå universitet, Institutionen för datavetenskap(Swepub:umu)ahal0005
(author)
-
Wadbro, EddieUmeå universitet,Institutionen för datavetenskap,Umeå universitet, Institutionen för datavetenskap(Swepub:kau)eddiwadb
(author)
-
Östberg, Per-OlovUmeå universitet,Institutionen för datavetenskap,Distributed Systems,Umeå universitet, Institutionen för datavetenskap(Swepub:umu)pooosg92
(author)
-
Elmroth, ErikUmeå universitet,Institutionen för datavetenskap,Distributed Systems,Umeå universitet, Institutionen för datavetenskap(Swepub:umu)erel0001
(author)
-
Umeå universitetInstitutionen för datavetenskap
(creator_code:org_t)
Related titles
-
In:ICAC 2018: IEEE Computer Society, s. 41-509781538651391
Internet link
Find in a library
-
ICAC 2018
(Search for host publication in LIBRIS)
To the university's database