一种对象化并行计算框架

分布式计算、并行计算、内存计算是目前提高计算性能的关键技术和热点研究领域。在大数据环境下，针对数据型统计分析系统性能劣化明显、不能满足用户使用需求的问题，提出了一种轻量级高性能对象化并行计算架构，研制了该架构的对象服务组件、对象管理服务组件和客户端代理组件，并将该架构和组件在国家电网资产质量监督管理系统中进行了验证应用，其效果表明该框架能大幅提升大数据处理效率。

Objectification Parallel Computing Framework

At present, the distributed computing, parallel computing and memory computing are key technologies and research spots of improving performance. In Big Data scene, the computing performance of data statistics and analysis system degrades so noticeably that it cannot satisfy user demand. To deal with the problem, this paper provides the Objectification Parallel computing Architecture. Based on the architecture, we develop the system which includes the Object Server Component, Object Manager Component and Client Proxy component. The system is applied to the Electric Asset Quality Supervision Manage System (EAQSMS) of State Grid of China. The result shows that the statistics performance of system index is improved dramatically.