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1. 中国联合网络通信有限公司研究院,北京 100032
2. 中国联合网络通信有限公司总部,北京 100033
[ "王智明(1982-),男,中国联合网络通信有限公司研究院工程师,主要研究方向为云计算、智慧城市、网络功能虚拟化。" ]
[ "陈冰(1972-),男,中国联合网络通信有限公司总部高级工程师,主要研究方向为云计算、运维自动化、网络功能虚拟化。" ]
网络出版日期:2016-03,
纸质出版日期:2016-03-20
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王智明, 陈冰. 基于改进智能优化算法的网络功能虚拟化故障分析处理方法[J]. 电信科学, 2016,32(3):48-52.
Zhiming WANG, Bing CHEN. Network function virtualization fault analysis and processing method based on improved intelligent optimization algorithm[J]. Telecommunication science, 2016, 32(3): 48-52.
王智明, 陈冰. 基于改进智能优化算法的网络功能虚拟化故障分析处理方法[J]. 电信科学, 2016,32(3):48-52. DOI: 10.11959/j.issn.1000-0801.2016099.
Zhiming WANG, Bing CHEN. Network function virtualization fault analysis and processing method based on improved intelligent optimization algorithm[J]. Telecommunication science, 2016, 32(3): 48-52. DOI: 10.11959/j.issn.1000-0801.2016099.
网络功能虚拟化已成为全球电信行业发展的重要趋势,随着网络功能虚拟化的快速发展及其电信业务的迅速增长,需要处理分析的数据量过大、分析和处理故障的效率较低等问题日益突出。针对日益迫切的网络功能虚拟化发展需求,基于改进智能优化算法的网络功能虚拟化故障分析处理方法对于网络功能虚拟化的迅速持续发展具有重要意义。在研究网络功能虚拟化传统故障管理功能机制的基础上,提出了一种基于改进智能优化算法的网络功能虚拟化故障分析处理方法,较好地解决了网络功能虚拟化故障分析处理的现存问题。
Network function virtualization has become an important trend in the global development of telecommunications industry,with the rapid development of network function virtualization and rapid growth of the telecommunications business,analysis and processing of data is too large to deal with,its problems such as low efficiency of fault analysis and processing have become increasingly prominent.For the increasingly urgent development needs of network function virtualization,fault analysis and processing method based on improved intelligent optimization algorithm is important for the rapid and sustainable development of network function virtualization.Based on the research of the convention mechanism of fault analysis and processing for network function virtualization,a method of fault analysis and processing for network function virtualization based on improved intelligent optimization algorithm was presented,it could solve the existing problems of fault analysis and processing for network function virtualization better.
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