Fei Xia, Hu Song, Ling Wang, Yintie Zhang, Lijun Wang
{"title":"Research on Autonomous Operation Technology of Distributed Data Center","authors":"Fei Xia, Hu Song, Ling Wang, Yintie Zhang, Lijun Wang","doi":"10.1109/ICPECA53709.2022.9719059","DOIUrl":null,"url":null,"abstract":"Due to the use of active and standby machines to process all real-time data at the same time, the existing data acquisition and monitoring (SCADA) system faces severe challenges in terms of data throughput, real-time performance, scalability, and reliability. In-depth research has been conducted on the storage of massive amounts of dynamic sensing data in large-scale smart grids, and the objective requirements of smart grids for data transmission, storage and query have been fully considered, and a distributed data storage method has been proposed to deal with it. The storage strategy for the massive data generated during the operation of the smart grid. Experiments have verified the low latency and high throughput advantages of the framework.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA53709.2022.9719059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the use of active and standby machines to process all real-time data at the same time, the existing data acquisition and monitoring (SCADA) system faces severe challenges in terms of data throughput, real-time performance, scalability, and reliability. In-depth research has been conducted on the storage of massive amounts of dynamic sensing data in large-scale smart grids, and the objective requirements of smart grids for data transmission, storage and query have been fully considered, and a distributed data storage method has been proposed to deal with it. The storage strategy for the massive data generated during the operation of the smart grid. Experiments have verified the low latency and high throughput advantages of the framework.
由于采用主备机同时处理所有实时数据,现有的SCADA (data acquisition and monitoring)系统在数据吞吐量、实时性、可扩展性和可靠性等方面面临严峻挑战。对大规模智能电网中海量动态传感数据的存储进行了深入研究,充分考虑了智能电网对数据传输、存储和查询的客观要求,并提出了一种分布式数据存储方法。智能电网运行过程中产生的海量数据存储策略。实验验证了该框架具有低延迟和高吞吐量的优点。