| 一种不需协商的业务等级协商测量方法 |
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| 引用本文： | 倪萍,廖建新,朱晓民.一种不需协商的业务等级协商测量方法[J].吉林大学学报(工学版),2011,41(1):264-0269. |
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| 作者姓名： | 倪萍 廖建新 朱晓民 |
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| 作者单位： | 北京邮电大学,网络与交换技术国家重点实验室,北京,100876;东信北邮信息技术有限公司,北京,100191 |
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| 基金项目： | 国家杰出青年科学基金项目（60525110）；“973”国家重点基础研究发展规划项目（2007CB307100，2007CB307103）； 电子信息产业发展基金项目. |
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| 摘 要： | 提出了一种针对业务等级协商(SLA)数据特性的模式提取方法.本方法主要抽取出系统的关键性能指标和关键质量指标,根据用户的体验进行机器学习发现模式,利用网格理论有效地避免了求多个指标之间关联度的问题,制定出一种实际运行中可以自动归纳总结满足业务SLA策略的数据度量方法,并且利用可视化数据展示的方式让用户很容易辨别得到的模...
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| 关 键 词： | 通信技术 业务等级协商 可视化 机器学习 |
| 收稿时间： | 2009-01-18 |
Method for service level agreement measurement without negotiation |
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| NI Ping,LIAO Jian-xin,ZHU Xiao-min.Method for service level agreement measurement without negotiation[J].Journal of Jilin University:Eng and Technol Ed,2011,41(1):264-0269. |
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| Authors: | NI Ping LIAO Jian-xin ZHU Xiao-min |
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| Affiliation: | 1.State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876,China|2.EBUPT Information Technology Co., Ltd, Beijing 100191,China |
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| Abstract: | A novel method was proposed to extract SLA patterns from large data sets. This method extracts patterns from large data sets of customers' experience through machine learning according to key performance indicators and key quality indicators predefined. By learning, Telecommunication Company can control the allocation of resource for holding customers' requirements from low level to high level. It need not consider the associations of multi-variants through grid partition. What's more, this method can disce... |
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| Keywords: | communication service level agreement (SLA) visualization machine learning |
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