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Power control for network equipment via adaptive forecast-based port rate regulation
Network equipment commonly runs at the highest configuration rate, while network traffic may significantly fluctuate. This causes a rather low utilization rate of network equipment. In this paper, we firstly analyze network traffic demand, and secondly, we develop an adaptive port rate regulation sc...
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creator | Fu Ling Xi Hong-Sheng Zhu Li-Yue Hu Han |
description | Network equipment commonly runs at the highest configuration rate, while network traffic may significantly fluctuate. This causes a rather low utilization rate of network equipment. In this paper, we firstly analyze network traffic demand, and secondly, we develop an adaptive port rate regulation scheme to enable switches to align its rate to what the network traffic requires. Simulation results demonstrate that our proposed algorithm can reduce the average rate of switches effectively, and t he packet loss rate remains at a lower level. |
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This causes a rather low utilization rate of network equipment. In this paper, we firstly analyze network traffic demand, and secondly, we develop an adaptive port rate regulation scheme to enable switches to align its rate to what the network traffic requires. Simulation results demonstrate that our proposed algorithm can reduce the average rate of switches effectively, and t he packet loss rate remains at a lower level.</description><identifier>ISSN: 1934-1768</identifier><identifier>ISBN: 1467325813</identifier><identifier>ISBN: 9781467325813</identifier><identifier>EISSN: 2161-2927</identifier><identifier>EISBN: 9789881563811</identifier><identifier>EISBN: 988156381X</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptation models ; Bandwidth ; Data models ; network equipment ; port rate regulation ; power control ; Power demand ; predictive control ; Predictive models ; Telecommunication traffic</subject><ispartof>Proceedings of the 31st Chinese Control Conference, 2012, p.4126-4130</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6390649$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6390649$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Fu Ling</creatorcontrib><creatorcontrib>Xi Hong-Sheng</creatorcontrib><creatorcontrib>Zhu Li-Yue</creatorcontrib><creatorcontrib>Hu Han</creatorcontrib><title>Power control for network equipment via adaptive forecast-based port rate regulation</title><title>Proceedings of the 31st Chinese Control Conference</title><addtitle>ChiCC</addtitle><description>Network equipment commonly runs at the highest configuration rate, while network traffic may significantly fluctuate. This causes a rather low utilization rate of network equipment. In this paper, we firstly analyze network traffic demand, and secondly, we develop an adaptive port rate regulation scheme to enable switches to align its rate to what the network traffic requires. Simulation results demonstrate that our proposed algorithm can reduce the average rate of switches effectively, and t he packet loss rate remains at a lower level.</description><subject>Adaptation models</subject><subject>Bandwidth</subject><subject>Data models</subject><subject>network equipment</subject><subject>port rate regulation</subject><subject>power control</subject><subject>Power demand</subject><subject>predictive control</subject><subject>Predictive models</subject><subject>Telecommunication traffic</subject><issn>1934-1768</issn><issn>2161-2927</issn><isbn>1467325813</isbn><isbn>9781467325813</isbn><isbn>9789881563811</isbn><isbn>988156381X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKAzEUQOMLnNZ-gZv8wEDuJJPHUoqPQkEXdV3uJHck2k7GTNri36vo6mwOB84ZWzhjnbXQamkBzlnVgIa6cY25YDNQ2simtSAvWQVOqhqMttdsNk3vQmjhQFZs85JOlLlPQ8lpx_uU-UDllPIHp89DHPc0FH6MyDHgWOKRfhXyOJW6w4kCH1MuPGMhnuntsMMS03DDrnrcTbT455y9Ptxvlk_1-vlxtbxb1xFMW2pPPVrdkem8dYKazmuEVnmPXVDBtf3PUwOIQvcoTJAiWBW0k2Ct7EVQcs5u_7qRiLZjjnvMX1stndDKyW9T8VEU</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Fu Ling</creator><creator>Xi Hong-Sheng</creator><creator>Zhu Li-Yue</creator><creator>Hu Han</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201207</creationdate><title>Power control for network equipment via adaptive forecast-based port rate regulation</title><author>Fu Ling ; Xi Hong-Sheng ; Zhu Li-Yue ; Hu Han</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-cefa86be7bc890e2bc6a154ccabd4d95f81121aa06fa07d30d84d6931883f0d43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptation models</topic><topic>Bandwidth</topic><topic>Data models</topic><topic>network equipment</topic><topic>port rate regulation</topic><topic>power control</topic><topic>Power demand</topic><topic>predictive control</topic><topic>Predictive models</topic><topic>Telecommunication traffic</topic><toplevel>online_resources</toplevel><creatorcontrib>Fu Ling</creatorcontrib><creatorcontrib>Xi Hong-Sheng</creatorcontrib><creatorcontrib>Zhu Li-Yue</creatorcontrib><creatorcontrib>Hu Han</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fu Ling</au><au>Xi Hong-Sheng</au><au>Zhu Li-Yue</au><au>Hu Han</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Power control for network equipment via adaptive forecast-based port rate regulation</atitle><btitle>Proceedings of the 31st Chinese Control Conference</btitle><stitle>ChiCC</stitle><date>2012-07</date><risdate>2012</risdate><spage>4126</spage><epage>4130</epage><pages>4126-4130</pages><issn>1934-1768</issn><eissn>2161-2927</eissn><isbn>1467325813</isbn><isbn>9781467325813</isbn><eisbn>9789881563811</eisbn><eisbn>988156381X</eisbn><abstract>Network equipment commonly runs at the highest configuration rate, while network traffic may significantly fluctuate. This causes a rather low utilization rate of network equipment. In this paper, we firstly analyze network traffic demand, and secondly, we develop an adaptive port rate regulation scheme to enable switches to align its rate to what the network traffic requires. Simulation results demonstrate that our proposed algorithm can reduce the average rate of switches effectively, and t he packet loss rate remains at a lower level.</abstract><pub>IEEE</pub><tpages>5</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptation models Bandwidth Data models network equipment port rate regulation power control Power demand predictive control Predictive models Telecommunication traffic |
title | Power control for network equipment via adaptive forecast-based port rate regulation |
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