[1]李强,孟冬,朱浩洋.网络化服务性能管理的技术研究与实现[J].计算机技术与发展,2013,(09):1-5.
 LI Qiang,MENG Dong,ZHU Hao-yang.Research and Implementation of Network Service Performance Management Technology[J].,2013,(09):1-5.
点击复制

网络化服务性能管理的技术研究与实现()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年09期
页码:
1-5
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research and Implementation of Network Service Performance Management Technology
文章编号:
1673-629X(2013)09-0001-05
作者:
李强孟冬朱浩洋
国防科学技术大学 计算机学院
Author(s):
LI QiangMENG DongZHU Hao-yang
关键词:
网络化服务应用性能管理
Keywords:
network servicesapplicationsperformance management
文献标志码:
A
摘要:
随着网络上各种服务和应用的快速增长,人们对计算机网络的依赖程度越来越大,因此,保证网络上的服务和应用的正常运行、优化服务性能,成为网络管理迫切需要解决的问题。针对网络化服务的性能实行管理,建立了以服务为核心节点的服务性能管理视图,并以此勾画出服务与其资源之间的依赖关系图。分层构建了服务性能管理系统,并搭建了服务性能监控平台,对部分服务和应用进行了性能监测、分析和展示,实现了网络化服务性能管理系统的各项功能
Abstract:
ith the rapid growth of network services and applications,people's life is heavily depended on the computer network. There-fore,how to ensure network services and applications normal running,to optimize service performance has become one important problem for network managers. According to the performance of network services,establish a service performance management view with the serv-ice as core,and then sketch the dependency relation chart between services and resources. Based on this,a multi-layer service perform-ance management system and service performance monitoring platform is constructed. By monitoring,analyzing and revealing the per-formance of the part of the service and application,this system can effectively realize the functions above

相似文献/References:

[1]陈岩 董淑福 蒋磊.OPNET网络仿真技术及其应用研究[J].计算机技术与发展,2009,(02):199.
 CHEN Yan,DONG Shu-fu,JIANG Lei.Research on OPNET Network Simulation Technology and Its Application[J].,2009,(09):199.
[2]杨定中 赵刚.IPTV技术在网络教育中的应用[J].计算机技术与发展,2009,(03):215.
 YANG Ding-zhong,ZHAO Gang.Application of IPTV in Web - Based Education[J].,2009,(09):215.
[3]赵丽.网络测试技术在校园网建设与维护中的应用[J].计算机技术与发展,2007,(09):174.
 ZHAO Li.Application of Network Testing Technology to Campus Network Construction and Maintenance[J].,2007,(09):174.
[4]刘爱军 耿国华.基于x86的虚拟机技术现状、应用及展望[J].计算机技术与发展,2007,(11):250.
 LIU Ai-jun,GENG Guo-hua.x86- Based Development Application and Prospect of Virtual Machine Technology[J].,2007,(09):250.
[5]梁循.数据挖掘:建模、算法、应用和系统[J].计算机技术与发展,2006,(01):1.
 LIANG Xun.Data Mining: Modeling, Algorithms, Applications and Systems[J].,2006,(09):1.
[6]詹建徽,张代远[].传感器应用、挑战与发展[J].计算机技术与发展,2013,(08):118.
 ZHAN Jian-hui[],ZHANG Dai-yuan[].Applications,Challenges and Development of Sensor[J].,2013,(09):118.
[7]沙聪雪,沈建新,梁春.虚拟手术系统开发软件平台研究[J].计算机技术与发展,2014,24(03):11.
 SHA Cong-xue,Jian-xin,LIANG Chun.Research on Software Platforms for Virtual Surgery Systems[J].,2014,24(09):11.
[8]孙羚宇,鄂旭,刘春晓,等.基于物联网技术的食品安全监管与对策研究[J].计算机技术与发展,2014,24(12):230.
 SUN Ling-yu,E Xu,LIU Chun-xiao,et al. Research on Food Safety Supervision and Decision Based on Internet of Things[J].,2014,24(09):230.
[9]王怡,鄂旭. 基于物联网无线传感的智能家居研究[J].计算机技术与发展,2015,25(02):234.
 WANG Yi,E Xu. Research on Intelligent Home Furnishing Based on WSN[J].,2015,25(09):234.
[10]李鹏飞,邵维专.深度学习在 SDN 中的应用研究[J].计算机技术与发展,2019,29(01):1.[doi:10.3969/j.issn.1673-629X.2019.01.001]
 LI Peng-fei,SHAO Wei-zhuan.Research on Application of Deep Learning in SDN[J].,2019,29(09):1.[doi:10.3969/j.issn.1673-629X.2019.01.001]

更新日期/Last Update: 1900-01-01