{"title":"数据中心绿色延迟感知数据部署:平衡网络和服务器的延迟、能源","authors":"Yuqi Fan, Hongli Ding, Donghui Hu","doi":"10.1145/2627566.2627584","DOIUrl":null,"url":null,"abstract":"Two concerns exist in service provisioning by data centers. One is that users require to experience low latency while accessing data from the data centers. The other is to reduce the power consumed by network transport and servers in the data centers. In this paper, we tackle the problem of green data deployment in the data centers, taking into account the three factors of latency, energy consumption of the data centers and the network transport.","PeriodicalId":91161,"journal":{"name":"Proceedings. Data Compression Conference","volume":"23 1","pages":"45-46"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Green latency-aware data deployment in data centers: balancing latency, energy in networks and servers\",\"authors\":\"Yuqi Fan, Hongli Ding, Donghui Hu\",\"doi\":\"10.1145/2627566.2627584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two concerns exist in service provisioning by data centers. One is that users require to experience low latency while accessing data from the data centers. The other is to reduce the power consumed by network transport and servers in the data centers. In this paper, we tackle the problem of green data deployment in the data centers, taking into account the three factors of latency, energy consumption of the data centers and the network transport.\",\"PeriodicalId\":91161,\"journal\":{\"name\":\"Proceedings. Data Compression Conference\",\"volume\":\"23 1\",\"pages\":\"45-46\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2627566.2627584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2627566.2627584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Green latency-aware data deployment in data centers: balancing latency, energy in networks and servers
Two concerns exist in service provisioning by data centers. One is that users require to experience low latency while accessing data from the data centers. The other is to reduce the power consumed by network transport and servers in the data centers. In this paper, we tackle the problem of green data deployment in the data centers, taking into account the three factors of latency, energy consumption of the data centers and the network transport.