A low-cost methodology for profiling the power consumption of network equipment

Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resourc...
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Autor*in:	Francini, Andrea [verfasserIn] Fortune, Steven Klein, Thierry Ricca, Marco

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Rate adaptation network resources packet-timescale rate adaptation power consumption modeling accuracy high power-saving yields Costs Power measurement network elements Power demand rate adaptation technologies power profiles protocol Switches packet networks telecommunication equipment network equipment demand-timescale rate adaptation traffic load power savings telecommunication power management Ports (Computers) packet radio networks low-power states system software upgrades cost containment power measurements Technological planning Product introduction Energy use Measurement Energy consumption Equipment and supplies Computer networks

Übergeordnetes Werk:	Enthalten in: IEEE communications magazine - New York, NY : IEEE, 1979, 53(2015), 5, Seite 250-256
Übergeordnetes Werk:	volume:53 ; year:2015 ; number:5 ; pages:250-256

Links:	Volltext Link aufrufen Link aufrufen

DOI / URN:	10.1109/MCOM.2015.7105672

Katalog-ID:	OLC1964678501

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650		4	\|a Rate adaptation
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650		4	\|a Costs
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650		4	\|a rate adaptation technologies
650		4	\|a power profiles
650		4	\|a protocol
650		4	\|a Switches
650		4	\|a packet networks
650		4	\|a telecommunication equipment
650		4	\|a network equipment
650		4	\|a demand-timescale rate adaptation
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700	1		\|a Klein, Thierry \|4 oth
700	1		\|a Ricca, Marco \|4 oth
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allfields	10.1109/MCOM.2015.7105672 doi PQ20160617 (DE-627)OLC1964678501 (DE-599)GBVOLC1964678501 (PRQ)c2346-e0e5b47a6868dd9cb6b0862f3bad5d5fc874993938bc750280f5b296ee4178b90 (KEY)0033889320150000053000500250lowcostmethodologyforprofilingthepowerconsumptiono DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.00 bkl Francini, Andrea verfasserin aut A low-cost methodology for profiling the power consumption of network equipment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resources to place into low-power states and to identify new system designs with high power-saving yields. We introduce a methodology for profiling the power consumption of network systems that reconciles modeling accuracy with cost containment and rapidity in the preparation and execution of power measurements. We apply the methodology to network systems from multiple vendors and find it capable of delivering a clear message: the power savings enabled by protocol and system software upgrades that support demand-timescale rate adaptation are worthwhile, but also largely inferior to those attainable with a new generation of hardware platforms that pervasively deploy packet-timescale rate adaptation. Rate adaptation network resources packet-timescale rate adaptation power consumption modeling accuracy high power-saving yields Costs Power measurement network elements Power demand rate adaptation technologies power profiles protocol Switches packet networks telecommunication equipment network equipment demand-timescale rate adaptation traffic load power savings telecommunication power management Ports (Computers) packet radio networks low-power states system software upgrades cost containment power measurements Technological planning Product introduction Energy use Measurement Energy consumption Equipment and supplies Computer networks Fortune, Steven oth Klein, Thierry oth Ricca, Marco oth Enthalten in IEEE communications magazine New York, NY : IEEE, 1979 53(2015), 5, Seite 250-256 (DE-627)12961632X (DE-600)244028-3 (DE-576)015114236 0163-6804 nnns volume:53 year:2015 number:5 pages:250-256 http://dx.doi.org/10.1109/MCOM.2015.7105672 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7105672 http://search.proquest.com/docview/1680915613 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2111 53.70 AVZ 53.00 AVZ AR 53 2015 5 250-256
spelling	10.1109/MCOM.2015.7105672 doi PQ20160617 (DE-627)OLC1964678501 (DE-599)GBVOLC1964678501 (PRQ)c2346-e0e5b47a6868dd9cb6b0862f3bad5d5fc874993938bc750280f5b296ee4178b90 (KEY)0033889320150000053000500250lowcostmethodologyforprofilingthepowerconsumptiono DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.00 bkl Francini, Andrea verfasserin aut A low-cost methodology for profiling the power consumption of network equipment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resources to place into low-power states and to identify new system designs with high power-saving yields. We introduce a methodology for profiling the power consumption of network systems that reconciles modeling accuracy with cost containment and rapidity in the preparation and execution of power measurements. We apply the methodology to network systems from multiple vendors and find it capable of delivering a clear message: the power savings enabled by protocol and system software upgrades that support demand-timescale rate adaptation are worthwhile, but also largely inferior to those attainable with a new generation of hardware platforms that pervasively deploy packet-timescale rate adaptation. Rate adaptation network resources packet-timescale rate adaptation power consumption modeling accuracy high power-saving yields Costs Power measurement network elements Power demand rate adaptation technologies power profiles protocol Switches packet networks telecommunication equipment network equipment demand-timescale rate adaptation traffic load power savings telecommunication power management Ports (Computers) packet radio networks low-power states system software upgrades cost containment power measurements Technological planning Product introduction Energy use Measurement Energy consumption Equipment and supplies Computer networks Fortune, Steven oth Klein, Thierry oth Ricca, Marco oth Enthalten in IEEE communications magazine New York, NY : IEEE, 1979 53(2015), 5, Seite 250-256 (DE-627)12961632X (DE-600)244028-3 (DE-576)015114236 0163-6804 nnns volume:53 year:2015 number:5 pages:250-256 http://dx.doi.org/10.1109/MCOM.2015.7105672 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7105672 http://search.proquest.com/docview/1680915613 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2111 53.70 AVZ 53.00 AVZ AR 53 2015 5 250-256
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allfieldsGer	10.1109/MCOM.2015.7105672 doi PQ20160617 (DE-627)OLC1964678501 (DE-599)GBVOLC1964678501 (PRQ)c2346-e0e5b47a6868dd9cb6b0862f3bad5d5fc874993938bc750280f5b296ee4178b90 (KEY)0033889320150000053000500250lowcostmethodologyforprofilingthepowerconsumptiono DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.00 bkl Francini, Andrea verfasserin aut A low-cost methodology for profiling the power consumption of network equipment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resources to place into low-power states and to identify new system designs with high power-saving yields. We introduce a methodology for profiling the power consumption of network systems that reconciles modeling accuracy with cost containment and rapidity in the preparation and execution of power measurements. We apply the methodology to network systems from multiple vendors and find it capable of delivering a clear message: the power savings enabled by protocol and system software upgrades that support demand-timescale rate adaptation are worthwhile, but also largely inferior to those attainable with a new generation of hardware platforms that pervasively deploy packet-timescale rate adaptation. Rate adaptation network resources packet-timescale rate adaptation power consumption modeling accuracy high power-saving yields Costs Power measurement network elements Power demand rate adaptation technologies power profiles protocol Switches packet networks telecommunication equipment network equipment demand-timescale rate adaptation traffic load power savings telecommunication power management Ports (Computers) packet radio networks low-power states system software upgrades cost containment power measurements Technological planning Product introduction Energy use Measurement Energy consumption Equipment and supplies Computer networks Fortune, Steven oth Klein, Thierry oth Ricca, Marco oth Enthalten in IEEE communications magazine New York, NY : IEEE, 1979 53(2015), 5, Seite 250-256 (DE-627)12961632X (DE-600)244028-3 (DE-576)015114236 0163-6804 nnns volume:53 year:2015 number:5 pages:250-256 http://dx.doi.org/10.1109/MCOM.2015.7105672 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7105672 http://search.proquest.com/docview/1680915613 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2111 53.70 AVZ 53.00 AVZ AR 53 2015 5 250-256
allfieldsSound	10.1109/MCOM.2015.7105672 doi PQ20160617 (DE-627)OLC1964678501 (DE-599)GBVOLC1964678501 (PRQ)c2346-e0e5b47a6868dd9cb6b0862f3bad5d5fc874993938bc750280f5b296ee4178b90 (KEY)0033889320150000053000500250lowcostmethodologyforprofilingthepowerconsumptiono DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.00 bkl Francini, Andrea verfasserin aut A low-cost methodology for profiling the power consumption of network equipment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resources to place into low-power states and to identify new system designs with high power-saving yields. We introduce a methodology for profiling the power consumption of network systems that reconciles modeling accuracy with cost containment and rapidity in the preparation and execution of power measurements. We apply the methodology to network systems from multiple vendors and find it capable of delivering a clear message: the power savings enabled by protocol and system software upgrades that support demand-timescale rate adaptation are worthwhile, but also largely inferior to those attainable with a new generation of hardware platforms that pervasively deploy packet-timescale rate adaptation. Rate adaptation network resources packet-timescale rate adaptation power consumption modeling accuracy high power-saving yields Costs Power measurement network elements Power demand rate adaptation technologies power profiles protocol Switches packet networks telecommunication equipment network equipment demand-timescale rate adaptation traffic load power savings telecommunication power management Ports (Computers) packet radio networks low-power states system software upgrades cost containment power measurements Technological planning Product introduction Energy use Measurement Energy consumption Equipment and supplies Computer networks Fortune, Steven oth Klein, Thierry oth Ricca, Marco oth Enthalten in IEEE communications magazine New York, NY : IEEE, 1979 53(2015), 5, Seite 250-256 (DE-627)12961632X (DE-600)244028-3 (DE-576)015114236 0163-6804 nnns volume:53 year:2015 number:5 pages:250-256 http://dx.doi.org/10.1109/MCOM.2015.7105672 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7105672 http://search.proquest.com/docview/1680915613 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2111 53.70 AVZ 53.00 AVZ AR 53 2015 5 250-256
language	English
source	Enthalten in IEEE communications magazine 53(2015), 5, Seite 250-256 volume:53 year:2015 number:5 pages:250-256
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topic_facet	Rate adaptation network resources packet-timescale rate adaptation power consumption modeling accuracy high power-saving yields Costs Power measurement network elements Power demand rate adaptation technologies power profiles protocol Switches packet networks telecommunication equipment network equipment demand-timescale rate adaptation traffic load power savings telecommunication power management Ports (Computers) packet radio networks low-power states system software upgrades cost containment power measurements Technological planning Product introduction Energy use Measurement Energy consumption Equipment and supplies Computer networks
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author	Francini, Andrea
spellingShingle	Francini, Andrea ddc 620 bkl 53.70 bkl 53.00 misc Rate adaptation misc network resources misc packet-timescale rate adaptation misc power consumption misc modeling accuracy misc high power-saving yields misc Costs misc Power measurement misc network elements misc Power demand misc rate adaptation technologies misc power profiles misc protocol misc Switches misc packet networks misc telecommunication equipment misc network equipment misc demand-timescale rate adaptation misc traffic load misc power savings misc telecommunication power management misc Ports (Computers) misc packet radio networks misc low-power states misc system software upgrades misc cost containment misc power measurements misc Technological planning misc Product introduction misc Energy use misc Measurement misc Energy consumption misc Equipment and supplies misc Computer networks A low-cost methodology for profiling the power consumption of network equipment
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topic_title	620 DNB 53.70 bkl 53.00 bkl A low-cost methodology for profiling the power consumption of network equipment Rate adaptation network resources packet-timescale rate adaptation power consumption modeling accuracy high power-saving yields Costs Power measurement network elements Power demand rate adaptation technologies power profiles protocol Switches packet networks telecommunication equipment network equipment demand-timescale rate adaptation traffic load power savings telecommunication power management Ports (Computers) packet radio networks low-power states system software upgrades cost containment power measurements Technological planning Product introduction Energy use Measurement Energy consumption Equipment and supplies Computer networks
topic	ddc 620 bkl 53.70 bkl 53.00 misc Rate adaptation misc network resources misc packet-timescale rate adaptation misc power consumption misc modeling accuracy misc high power-saving yields misc Costs misc Power measurement misc network elements misc Power demand misc rate adaptation technologies misc power profiles misc protocol misc Switches misc packet networks misc telecommunication equipment misc network equipment misc demand-timescale rate adaptation misc traffic load misc power savings misc telecommunication power management misc Ports (Computers) misc packet radio networks misc low-power states misc system software upgrades misc cost containment misc power measurements misc Technological planning misc Product introduction misc Energy use misc Measurement misc Energy consumption misc Equipment and supplies misc Computer networks
topic_unstemmed	ddc 620 bkl 53.70 bkl 53.00 misc Rate adaptation misc network resources misc packet-timescale rate adaptation misc power consumption misc modeling accuracy misc high power-saving yields misc Costs misc Power measurement misc network elements misc Power demand misc rate adaptation technologies misc power profiles misc protocol misc Switches misc packet networks misc telecommunication equipment misc network equipment misc demand-timescale rate adaptation misc traffic load misc power savings misc telecommunication power management misc Ports (Computers) misc packet radio networks misc low-power states misc system software upgrades misc cost containment misc power measurements misc Technological planning misc Product introduction misc Energy use misc Measurement misc Energy consumption misc Equipment and supplies misc Computer networks
topic_browse	ddc 620 bkl 53.70 bkl 53.00 misc Rate adaptation misc network resources misc packet-timescale rate adaptation misc power consumption misc modeling accuracy misc high power-saving yields misc Costs misc Power measurement misc network elements misc Power demand misc rate adaptation technologies misc power profiles misc protocol misc Switches misc packet networks misc telecommunication equipment misc network equipment misc demand-timescale rate adaptation misc traffic load misc power savings misc telecommunication power management misc Ports (Computers) misc packet radio networks misc low-power states misc system software upgrades misc cost containment misc power measurements misc Technological planning misc Product introduction misc Energy use misc Measurement misc Energy consumption misc Equipment and supplies misc Computer networks
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title	A low-cost methodology for profiling the power consumption of network equipment
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title_full	A low-cost methodology for profiling the power consumption of network equipment
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title_sort	low-cost methodology for profiling the power consumption of network equipment
title_auth	A low-cost methodology for profiling the power consumption of network equipment
abstract	Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resources to place into low-power states and to identify new system designs with high power-saving yields. We introduce a methodology for profiling the power consumption of network systems that reconciles modeling accuracy with cost containment and rapidity in the preparation and execution of power measurements. We apply the methodology to network systems from multiple vendors and find it capable of delivering a clear message: the power savings enabled by protocol and system software upgrades that support demand-timescale rate adaptation are worthwhile, but also largely inferior to those attainable with a new generation of hardware platforms that pervasively deploy packet-timescale rate adaptation.
abstractGer	Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resources to place into low-power states and to identify new system designs with high power-saving yields. We introduce a methodology for profiling the power consumption of network systems that reconciles modeling accuracy with cost containment and rapidity in the preparation and execution of power measurements. We apply the methodology to network systems from multiple vendors and find it capable of delivering a clear message: the power savings enabled by protocol and system software upgrades that support demand-timescale rate adaptation are worthwhile, but also largely inferior to those attainable with a new generation of hardware platforms that pervasively deploy packet-timescale rate adaptation.
abstract_unstemmed	Rate adaptation technologies aim at establishing a linear relationship between power consumption and traffic load in packet networks. They rely on power profiles of network elements, which map system configurations and traffic loads onto power consumption levels, for the selection of network resources to place into low-power states and to identify new system designs with high power-saving yields. We introduce a methodology for profiling the power consumption of network systems that reconciles modeling accuracy with cost containment and rapidity in the preparation and execution of power measurements. We apply the methodology to network systems from multiple vendors and find it capable of delivering a clear message: the power savings enabled by protocol and system software upgrades that support demand-timescale rate adaptation are worthwhile, but also largely inferior to those attainable with a new generation of hardware platforms that pervasively deploy packet-timescale rate adaptation.
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container_issue	5
title_short	A low-cost methodology for profiling the power consumption of network equipment
url	http://dx.doi.org/10.1109/MCOM.2015.7105672 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7105672 http://search.proquest.com/docview/1680915613
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author2	Fortune, Steven Klein, Thierry Ricca, Marco
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doi_str	10.1109/MCOM.2015.7105672
up_date	2024-07-03T14:53:47.672Z
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