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基于软件定义存储的电力数据模型研究 被引量:3

Research on power data model based on software defined storage
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摘要 针对电力系统业务扩展,传统的硬件存储技术难以满足电力行业数据快速增长的需求,文中提出了一种面向电力行业的软件定义存储的电力数据模型解决方案。该方案采用分布式文件存储技术,能够实现电力数据统一管理,安全性存储和差异化服务的需求。基于Ceph技术设计的电力数据软件定义存储模型,能够利用系统的无中心架构和数据分布算法,实现对于电力数据的充分研究与测试。同时,还可保证基础存储系统和相关接口实现稳定、高可靠性的技术开发。文中的研究通过提出一种新的存储方法,改进现有的硬件驱动的存储体系,满足电力数据的存储需求,对于软件定义存储在电力行业的应用具有重要意义。 In view of the expansion of the power system business,the traditional hardware storage technology is difficult to meet the demand for the rapid growth of the power industry data.In this paper,a solution of the power data model for the software defined storage of the power industry is proposed.The scheme adopts distributed file storage technology,which can realize unified management of power data,security storage and differentiated services.The power data software definition storage model based on Ceph technology can make full use of the system's central architecture and data distribution algorithm to fully study and test the power data.At the same time,it can ensure the stable and high reliability development of the basic storage system and the related interfaces.In this paper,a new storage method is proposed to improve the existing hardware driven storage system and meet the storage requirements of power data.It is of great significance to the application of software definition in the power industry.
作者 孙庆恭 何超勋 刘振辉 赖奎安 SUN Qing-gong;HE Chao-xun;LIU Zhen-hui;LAI Kui-an(Shanwei Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Shanwei 516600,China)
出处 《电子设计工程》 2019年第4期131-135,共5页 Electronic Design Engineering
关键词 软件定义存储 电力数据 分布式存储技术 分布式数据算法 基础存储系统 software defined storage power data distributed storage technology distributed data algorithm RADOS
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  • 1罗贺,汪永康,胡笑旋,孙锦波.基于负载均衡的云服务资源配置策略研究[J].中国管理科学,2013,21(S1):121-125. 被引量:3
  • 2王月,贾卓生.网络存储技术的研究与应用[J].计算机技术与发展,2006,16(6):107-109. 被引量:26
  • 3张成峰,谢长生,罗益辉,罗东健.网络存储的统一与虚拟化[J].计算机科学,2006,33(6):11-14. 被引量:26
  • 4Global action plan, an inefficient truth[EB/OL]. Global action plan report, 2007 [ 2011-02-12 ]. http:// globalactionplan, org. uk.
  • 5Yun D, Lee J. Research in green network for future Intcrnet [J]. Journal of Korean Institute of Information Scientists and Engineers, 2010, 28(1): 41-51.
  • 6Barroso L A, Hlzle U. The datacenter as a computer: An introduction to the design of warehouse-scale machines [R]. Morgan: Synthesis I.ectures on Computer Architecture, Morgan & Claypool Publishers, 2009.
  • 7Ghemawat S, Gobioff H, Leung S T. The google gile system[C] //Proc of the 19th ACM Symp on Operating System Principles. New York= ACM, 2003:29-43.
  • 8Borthaku D. The hadoop distributed file system: Architecture and design [EB/OL]. (2007 -07 -01) [2011- 2 -12]. http: //hadoop. apache, org/common/docs/r0. 18. 2/hdfs design, pdf.
  • 9Dean J, Ghemawat S. MapReduce: Simplifed data processing on large clusters [C] //Proc of the Conf on Operating System Design and Implementation (OSDI). New York: ACM, 2004, 137-150.
  • 10Li D, Wang J E. Energy efficient redundant and inexpensive disk array [C] //Proc of the ACM SIGOPS European Workshop. New York: ACM, 2004:29-35.

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