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ZTE Communications ›› 2019, Vol. 17 ›› Issue (4): 56-61.DOI: 10.12142/ZTECOM.201904008

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A Survey on Network Operation and Maintenance Quality Evaluation Models

LIU Lixia1, WU Muyang2, JI Feng1, LIU Zheng2()   

  1. 1.ZTE Corporation, Nanjing, Jiangsu 210012, China
    2.Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China
  • Received:2019-04-02 Online:2019-12-25 Published:2020-04-16
  • About author:LIU Lixia is a senior system engineer of Technology Pre-Research of ZTE Institute of Vision, ZTE Corporation. Her interests include big data and artificial intelligence.|WU Muyang received her M.S. degree from Nanjing University of Posts and Telecommunications, China. Her research interests include log analysis and data mining|JI Feng is the chief technology engineer of ZTE Institute of Vision, ZTE Corporation. His interests include big data, artificial intelligence, and distributed database.|LIU Zheng (zliu@njupt.edu.cn) is an assistant professor at the School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, China. He obtained his Ph.D. degree from Chinese University of Hong Kong, China in 2011. He was a research engineer with Huawei Technologies from 2011 to 2015. His research interests include mining and querying large graph data, mining multimedia data, and mining event logs in network management. He has published research papers in major conferences including ICDE, ICDM, DASFAA, and PAKDD. He is an IEEE member.

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Abstract:

The evaluation of network operation and maintenance quality is an important reference for carriers to improve their service. However, the traditional evaluation methods involve so much human participation that it cannot cope with the explosive amount of data. Therefore, both the major carriers and researchers are trying to find solutions to evaluate the quality of network operation and maintenance more objectively and accurately. In this paper, we analyze the general process of quality evaluation models for network operation and maintenance. The process has four steps: 1) selection of evaluation indicators; 2) data process for chosen indicators; 3) determination of indicator weights; 4) establishment of evaluation models. We further describe the working principle of each step, especially the methods for indicator selection and weight determination. Finally, we review the recently proposed evaluation models and the international standards of network operation and maintenance quality evaluation.

Key words: quality evaluation, network operation and maintenance, quality of service, indicator selection, weight determination