Analysis of Network Access Behaviour Preferences and its Impact on Campus Networks QoS in Chinese Vocational Colleges

• Published in: 2023 IEEE International Conference on Computing, ICOCO 2023
• Main Author: Lei Z.; Binti Kamal Bashah N.S.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184853321&doi=10.1109%2fICOCO59262.2023.10397869&partnerID=40&md5=0365a48323d4d3bf71789d9cb999b080

In China, many colleges are lack of adequate network capacity despite the rising Internet user demand. The QoS of campus networks is severely hampered by the volume of users using the same class of Internet apps simultaneously. This paper will review the outcomes of network access behavior preferences and how they affect the university network's quality of service. In this study, Internet access time was split into Peak Hours and Non-peak Hours, each included with three time periods. The study also categorized users' Internet access behavior into nine types namely the large-scale online games, news or web novels, watching videos, watching live broadcasts, casual online games, instant messaging, online shopping, downloading software and others. Users of the Anhui Institute of Technology and Business's surveys and Internet access logs were used for the analysis. The findings demonstrated that many factors, including application type, access time, location, and dormitory type, significantly influenced the college's campus Internet service quality. The results support user analysis techniques that optimize campus network QoS based on time and application type characteristics. © 2023 IEEE.