This dataset was created by yuanzhe zhou
It contains the following files:
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by yuanzhe zhou
Released under CC0: Public Domain
The dataset, provided by Shanghai Telecom, contains more than 7.2 million records of accessing the Interent through 3,233 base stations from 9,481 mobile phones for six months. For example, the following figure shows the distribution of base stations. Each node denotes a base station in Shanghai, China. This dataset could help researchers to evaluate their solution in mobile edge computing topic such as edge server placement, service migration, service recommendation, etc.
http://sguangwang.com/fig1.jpg" alt="">
As shown in the following table, the Telecom dataset shows 6 parameters such as Month, Data, Start Time, End Time, Base Station Location, Mobile Phone ID. The trajectory of users can be found by the dataset.
Month | The month when one record happens |
---|---|
Date | The date when one record happens |
Start Time | The time when a record stards |
End Time | The time when a record ends |
Base Station Location | The longitude and latitude of the base station where the mobile phone accesses the internet |
User ID | Mobile phone |
The telecom dataset is available free of charge for educational and non-commercial purposes. The Telecom data should be used in any scientific or educational study/research. Redistribution of this data to any other third party is not permited.In exchange, we kindly request that you make available to us the results of running the telecom dataset. You must cite the following papers when using this Telecom dataset.
[1] Yuanzhe Li, Ao Zhou, Xiao Ma, Shangguang Wang, Profit-aware Edge Server Placement, IEEE Internet of Things Journal, 2022, vol.9, no.1 ,pp.55-67 PDF Sourcecode
[2] Y. Guo, S. Wang, A. Zhou, J. Xu, J. Yuan, C. Hsu. User Allocation‐aware Edge Cloud Placement in Mobile Edge Computing, Software: Practice and Experience, vol. 50, no. 5, pp. 489-502, 2020.PDF Sourcecode
[3] S. Wang, Y. Guo, N. Zhang, P. Yang, A. Zhou, X. Shen. Delay-aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach, IEEE Transactions on Mobile Computing, vol. 20, no.3, pp.939-953, 2021. PDF
Not seeing a result you expected?
Learn how you can add new datasets to our index.
This dataset was created by yuanzhe zhou
It contains the following files: