{"title":"分布式计算环境下的高效工作负载处理技术","authors":"L. Globa, Nataliia Gvozdetska","doi":"10.1109/BlackSeaCom48709.2020.9235001","DOIUrl":null,"url":null,"abstract":"The energy consumption of modern data centers is currently growing rapidly, due to the development of new services and the spread of the ICT (Information & Communication Technologies) in all areas of human life. It causes a huge demand in new energy efficient computing technologies which would simultaneously improve data processing performance meeting the requirements of SLA.","PeriodicalId":186939,"journal":{"name":"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Efficient Workload Processing Technology for Distributed Computing Environment\",\"authors\":\"L. Globa, Nataliia Gvozdetska\",\"doi\":\"10.1109/BlackSeaCom48709.2020.9235001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The energy consumption of modern data centers is currently growing rapidly, due to the development of new services and the spread of the ICT (Information & Communication Technologies) in all areas of human life. It causes a huge demand in new energy efficient computing technologies which would simultaneously improve data processing performance meeting the requirements of SLA.\",\"PeriodicalId\":186939,\"journal\":{\"name\":\"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BlackSeaCom48709.2020.9235001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BlackSeaCom48709.2020.9235001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Efficient Workload Processing Technology for Distributed Computing Environment
The energy consumption of modern data centers is currently growing rapidly, due to the development of new services and the spread of the ICT (Information & Communication Technologies) in all areas of human life. It causes a huge demand in new energy efficient computing technologies which would simultaneously improve data processing performance meeting the requirements of SLA.
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