{"title":"节能的以太网编码","authors":"Yanpei Chen, T. Wang, R. Katz","doi":"10.1109/LCN.2008.4664160","DOIUrl":null,"url":null,"abstract":"The energy efficiency of network elements is becoming more prominent, with growing concern for Internet power consumption and heat dissipation in datacenters and communications closets. Previous work has looked at energy efficient wireless topologies, network nodes, routers, and protocols. In considering a fresh redesign of the Internet datacenter for energy efficiency, we believe that energy efficient encodings are worthy of study. In this work, we re-examine the choice of Ethernet encoding, develop an associated energy model, evaluate current encodings, and propose new encodings. We found that simpler encodings are more energy efficient, with power savings of around 20% for the best encoding. Our work represents a first step in re-examining the established assumptions and practices of the PHY level of the network stack with respect to energy.","PeriodicalId":218005,"journal":{"name":"2008 33rd IEEE Conference on Local Computer Networks (LCN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Energy efficient Ethernet encodings\",\"authors\":\"Yanpei Chen, T. Wang, R. Katz\",\"doi\":\"10.1109/LCN.2008.4664160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The energy efficiency of network elements is becoming more prominent, with growing concern for Internet power consumption and heat dissipation in datacenters and communications closets. Previous work has looked at energy efficient wireless topologies, network nodes, routers, and protocols. In considering a fresh redesign of the Internet datacenter for energy efficiency, we believe that energy efficient encodings are worthy of study. In this work, we re-examine the choice of Ethernet encoding, develop an associated energy model, evaluate current encodings, and propose new encodings. We found that simpler encodings are more energy efficient, with power savings of around 20% for the best encoding. Our work represents a first step in re-examining the established assumptions and practices of the PHY level of the network stack with respect to energy.\",\"PeriodicalId\":218005,\"journal\":{\"name\":\"2008 33rd IEEE Conference on Local Computer Networks (LCN)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 33rd IEEE Conference on Local Computer Networks (LCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LCN.2008.4664160\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 33rd IEEE Conference on Local Computer Networks (LCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2008.4664160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The energy efficiency of network elements is becoming more prominent, with growing concern for Internet power consumption and heat dissipation in datacenters and communications closets. Previous work has looked at energy efficient wireless topologies, network nodes, routers, and protocols. In considering a fresh redesign of the Internet datacenter for energy efficiency, we believe that energy efficient encodings are worthy of study. In this work, we re-examine the choice of Ethernet encoding, develop an associated energy model, evaluate current encodings, and propose new encodings. We found that simpler encodings are more energy efficient, with power savings of around 20% for the best encoding. Our work represents a first step in re-examining the established assumptions and practices of the PHY level of the network stack with respect to energy.