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Received:November 07, 2014 Revised:March 18, 2015
Received:November 07, 2014 Revised:March 18, 2015
中文摘要: 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.
Abstract: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.
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基金项目:
Author Name | Affiliation |
TANG Yun-Shan | State Grid Electric Power Research Institute, Nanjing 210006, China |
MIAO Wei-Wei | State Grid JIANGSU Electric Power Company, Nanjing 210006, China |
Author Name | Affiliation |
TANG Yun-Shan | State Grid Electric Power Research Institute, Nanjing 210006, China |
MIAO Wei-Wei | State Grid JIANGSU Electric Power Company, Nanjing 210006, China |
引用文本:
唐云善,缪巍巍.一种对象化并行计算框架.计算机系统应用,2015,24(7):35-40
TANG Yun-Shan,MIAO Wei-Wei.Objectification Parallel Computing Framework.COMPUTER SYSTEMS APPLICATIONS,2015,24(7):35-40
唐云善,缪巍巍.一种对象化并行计算框架.计算机系统应用,2015,24(7):35-40
TANG Yun-Shan,MIAO Wei-Wei.Objectification Parallel Computing Framework.COMPUTER SYSTEMS APPLICATIONS,2015,24(7):35-40