吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (01): 264-0269.

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Method for service level agreement measurement without negotiation

NI Ping1,2, LIAO Jian-xin1,2, ZHU Xiao-min1,2   

  1. 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
  • Received:2009-01-18 Online:2011-01-01 Published:2011-01-01

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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 discern the accuracy of extracted patterns through visualization technologies in order to adjust userspecific input parameters.

Key words: communication, service level agreement (SLA), visualization, machine learning

CLC Number: 

  • TN919
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