Research on Quality Evaluation Technology of “Model Data Platform” for PaaS Layer

Ling-lin Gong, Yujia Li, Yuan Cheng, Xin Xu
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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.
面向PaaS层的“模型数据平台”质量评价技术研究
随着电网运行特点的转变和调度控制云平台(dCloud platform)的深入发展,为确保dCloud平台能够安全稳定地支持电网信息感知与同步、精益调度管理、数据深度应用等需求,必须重点研究dCloud平台应用的测量技术和质量提升方法。本文分析了dCloud平台的Iaas、Paas、Saas层体系结构,研究了Paas层模型数据平台的数据质量验证、全流程数据协同测试等关键技术。本文提取关键技术指标,并基于层次分析法实现模型数据平台综合指标,在保证云平台软件运行能力稳定的同时,提高软件质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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