{"title":"利用绿色kpi优化大型IT基础设施的能源和成本","authors":"Boban Celebic, R. Breu","doi":"10.1109/FiCloud.2015.86","DOIUrl":null,"url":null,"abstract":"This research paper focuses on reengineering and optimization of energy consumption and other costs for large IT infrastructures, with support from EA software which is based on advanced use of IT Key Performance Indicators (KPIs) and powerful visualization solutions. Use of KPIs is crucial in achieving energy efficient, green IT, implementing these metrics allows the enterprise to determine areas to improve energy efficiency, monitor that the data center operators improve the designs and processes over time, to automate the energy and cost (optimization) management and to predict and discover opportunities to repurpose and redirect energy for additional IT equipment. Such approach allows to measure current and predict and plan future power usage, so that current IT infrastructures can be optimized or new IT infrastructures can be planned to be energy efficient from the start.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using Green KPIs for Large IT Infrastructures' Energy and Cost Optimization\",\"authors\":\"Boban Celebic, R. Breu\",\"doi\":\"10.1109/FiCloud.2015.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper focuses on reengineering and optimization of energy consumption and other costs for large IT infrastructures, with support from EA software which is based on advanced use of IT Key Performance Indicators (KPIs) and powerful visualization solutions. Use of KPIs is crucial in achieving energy efficient, green IT, implementing these metrics allows the enterprise to determine areas to improve energy efficiency, monitor that the data center operators improve the designs and processes over time, to automate the energy and cost (optimization) management and to predict and discover opportunities to repurpose and redirect energy for additional IT equipment. Such approach allows to measure current and predict and plan future power usage, so that current IT infrastructures can be optimized or new IT infrastructures can be planned to be energy efficient from the start.\",\"PeriodicalId\":182204,\"journal\":{\"name\":\"2015 3rd International Conference on Future Internet of Things and Cloud\",\"volume\":\"253 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 3rd International Conference on Future Internet of Things and Cloud\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FiCloud.2015.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Future Internet of Things and Cloud","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FiCloud.2015.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Green KPIs for Large IT Infrastructures' Energy and Cost Optimization
This research paper focuses on reengineering and optimization of energy consumption and other costs for large IT infrastructures, with support from EA software which is based on advanced use of IT Key Performance Indicators (KPIs) and powerful visualization solutions. Use of KPIs is crucial in achieving energy efficient, green IT, implementing these metrics allows the enterprise to determine areas to improve energy efficiency, monitor that the data center operators improve the designs and processes over time, to automate the energy and cost (optimization) management and to predict and discover opportunities to repurpose and redirect energy for additional IT equipment. Such approach allows to measure current and predict and plan future power usage, so that current IT infrastructures can be optimized or new IT infrastructures can be planned to be energy efficient from the start.