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ALPACA :
ALPACA : Application Performance Aware Server Power Capping
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- Krzywda, Jakub, 1989- (author)
- Umeå universitet,Institutionen för datavetenskap,Distributed Systems,Umeå universitet, Institutionen för datavetenskap
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- Ali-Eldin, A. (author)
- Umeå universitet,Institutionen för datavetenskap,College of Information and Computer Sciences, University of Massachusetts Amherst,Distributed Systems,Umeå universitet, Institutionen för datavetenskap
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- Wadbro, Eddie (author)
- Umeå universitet,Institutionen för datavetenskap,Umeå universitet, Institutionen för datavetenskap
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- Östberg, Per-Olov (author)
- Umeå universitet,Institutionen för datavetenskap,Distributed Systems,Umeå universitet, Institutionen för datavetenskap
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- Elmroth, Erik (author)
- Umeå universitet,Institutionen för datavetenskap,Distributed Systems,Umeå universitet, Institutionen för datavetenskap
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(creator_code:org_t)
- IEEE Computer Society, 2018
- 2018
- English.
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In: ICAC 2018. - : IEEE Computer Society. - 9781538651391 ; , s. 41-50
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- 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
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Keyword
- power capping
- performance degradation
- power-performance tradeoffs
- business data processing
- administrativ databehandling
Publication and Content Type
- ref (subject category)
- kon (subject category)
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