Analysis in the internet traffic pattern based on RTT over ADSL in Thailand
The internet traffic pattern is needed for the intelligent network devices implemented AI e.g., a neural network in order to upgrade QoS for real-time application or telemedicine, which is one method of Traffic Engineering. There are big three ADSL operators in Thailand (TRUE, 3BB, and TOT). This pa...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Published: |
2018
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Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/31644 |
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Institution: | Mahidol University |
Summary: | The internet traffic pattern is needed for the intelligent network devices implemented AI e.g., a neural network in order to upgrade QoS for real-time application or telemedicine, which is one method of Traffic Engineering. There are big three ADSL operators in Thailand (TRUE, 3BB, and TOT). This paper presents the performance comparison of three ADSL operators based on RTT ping packets for one month. Domestic Internet links of these operators are observed. There are two sites (Nonthaburi and Pathumthani) for testing three operators. Seasonality of the internet traffic is also investigated. From experiments, 3BB operator gives the highest ping packet loss for both sites. TOT operator introduces the lowest mean RTT ping packet at Nonthaburi site while TRUE operator introduces the lowest at Pathumthani site. The seasonal internet traffic is found on during 06:00-08:00 A.M. and 05:00-0:700 P.M. for all operators. © 2013 IEEE. |
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