{"title":"Research on Quality Evaluation Technology of “Model Data Platform” for PaaS Layer","authors":"Ling-lin Gong, Yujia Li, Yuan Cheng, Xin Xu","doi":"10.1109/ITNEC48623.2020.9085224","DOIUrl":null,"url":null,"abstract":"With the transformation of the operation characteristics of the power grid and the in-depth development of the dispatching and control cloud platform (dCloud platform), in order to ensure that the dCloud platform can safely and stably support the needs of power grid information perception and synchronization, lean dispatch management, and deep application of data, research must be focused on the measurement technology and quality improvement methods for dCloud platform applications. This article analyzes the Iaas, Paas, Saas layer system structure of dCloud platform, and studies key technologies such as data quality verification of model data platform of the Paas layer, and collaborative testing of the entire process data. This article extracts key technical indicators, and implements the comprehensive indicators of the model data platform based on the analytic hierarchy process, which can improve the quality of software while ensuring the stability of the cloud platform software's ability to operate.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"583 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNEC48623.2020.9085224","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
With the transformation of the operation characteristics of the power grid and the in-depth development of the dispatching and control cloud platform (dCloud platform), in order to ensure that the dCloud platform can safely and stably support the needs of power grid information perception and synchronization, lean dispatch management, and deep application of data, research must be focused on the measurement technology and quality improvement methods for dCloud platform applications. This article analyzes the Iaas, Paas, Saas layer system structure of dCloud platform, and studies key technologies such as data quality verification of model data platform of the Paas layer, and collaborative testing of the entire process data. This article extracts key technical indicators, and implements the comprehensive indicators of the model data platform based on the analytic hierarchy process, which can improve the quality of software while ensuring the stability of the cloud platform software's ability to operate.