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EUA Datasets

This repository maintains a collection of EUA datasets collected from real‑world data sources, publicly released to promote edge computing research. The datasets include edge‑server locations and user locations, all situated in Australia.

Updated 5/18/2024
github

Description

Dataset Overview

Dataset Name

  • EUA Datasets

Dataset Content

  • edge‑servers folder: contains edge‑server location data.
  • users folder: contains user location data.

Data Source

  • The datasets are sourced from real‑world data in the Australian region.

Intended Use

  • The dataset aims to facilitate research in edge computing.

Related Publications

  1. Guangming Cui et al., "OL‑EUA: Online User Allocation for NOMA‑based Mobile Edge Computing," IEEE Transactions on Mobile Computing, 2021. DOI: 10.1109/TMC.2021.3112941
  2. Guangming Cui et al., "Location Privacy Protection via Delocalization in 5G Mobile Edge Computing Environment," IEEE Transactions on Services Computing, 2021. DOI: 10.1109/TSC.2021.3112659
  3. Guangming Cui et al., "Demand Response in NOMA‑based Mobile Edge Computing: A Two‑phase Game‑theoretical Approach," IEEE Transactions on Mobile Computing, 2021. DOI: 10.1109/TMC.2021.3108581
  4. Xiaoyu Xia et al., "OL‑MEDC: An Online Approach for Cost‑effective Data Caching in Mobile Edge Computing Systems," IEEE Transactions on Mobile Computing, 2021. DOI: 10.1109/TMC.2021.3107918
  5. Xiaoyu Xia et al., "Data, User and Power Allocations for Caching in Multi‑Access Edge Computing," IEEE Transactions on Parallel and Distributed Systems, 2021. DOI: 10.1109/TPDS.2021.3104241
  6. Xiaoyu Xia et al., "Online Collaborative Data Caching in Edge Computing," IEEE Transactions on Parallel and Distributed Systems, 2020. DOI: 10.1109/TPDS.2020.3016344
  7. Bo Li et al., "READ: Robustness‑oriented Edge Application Deployment in Edge Computing Environment," IEEE Transactions on Services Computing, 2020. DOI: 10.1109/TSC.2020.3015316
  8. Xiaoyu Xia et al., "Cost‑Effective App Data Distribution in Edge Computing," IEEE Transactions on Parallel and Distributed Systems, 2020. DOI: 10.1109/TPDS.2020.3010521
  9. Xiaoyu Xia et al., "Graph‑based Data Caching Optimization for Edge Computing," Future Generation Computer Systems, 2020. DOI: 10.1016/j.future.2020.07.016
  10. Guangming Cui et al., "Trading off between User Coverage and Network Robustness for Edge Server Placement," IEEE Transactions on Cloud Computing, 2020. DOI: 10.1109/TCC.2020.3008440
  11. Phu Lai et al., "Cost‑Effective App User Allocation in an Edge Computing Environment," IEEE Transactions on Cloud Computing, 2020. DOI: 10.1109/TCC.2020.3001570
  12. Phu Lai et al., "QoE‑aware User Allocation in Edge Computing Systems with Dynamic QoS," Future Generation Computer Systems, 2020. DOI: 10.1016/j.future.2020.06.029
  13. Guangming Cui et al., "Interference‑aware SaaS User Allocation Game for Edge Computing," IEEE Transactions on Cloud Computing, 2020. DOI: 10.1109/TCC.2020.3008440
  14. Qinglan Peng et al., "A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments," ICSO C 2020, Dubai, UAE.
  15. Guobing Zou et al., "TD‑EUA: Task‑decomposable Edge User Allocation with QoE Optimization," ICSO C 2020, Dubai, UAE.
  16. Wei Du et al., "Fault‑tolerating Edge Computing with Server Redundancy based on a Variant of Group Degree Centrality," ICSO C 2020, Dubai, UAE.
  17. Zhiwei Xu et al., "Distance‑aware Edge User Allocation with QoE Optimization," ICWS 2020, Beijing, China.
  18. Xiaoyu Xia et al., "Budgeted Data Caching based on k‑Median in Mobile Edge Computing," ICWS 2020, Beijing, China.
  19. Ying Liu et al., "Proactive Data Cache and Replacement in the Edge Computing Environment," CLOUD 2020, Beijing, China.
  20. Feifei Chen et al., "Optimal Application Deployment in Mobile Edge Computing Environment," CLOUD 2020, Beijing, China.
  21. Phu Lai et al., "Quality of Experience‑Aware User Allocation in Edge Computing Systems: A Potential Game," ICDCS 2020, Singapore.
  22. Guangming Cui et al., "Robustness‑oriented k Edge Server Placement," CCGrid 2020, Melbourne, Australia. DOI: 10.1109/CCGrid49817.2020.00-85
  23. Qiang He et al., "A Game‑Theoretical Approach for User Allocation in Edge Computing Environment," IEEE Transactions on Parallel and Distributed Systems, 2019.
  24. Phu Lai et al., "Edge User Allocation with Dynamic Quality of Service," ICSO C 2019, Toulouse, France.
  25. Xiaoyu Xia et al., "Graph‑based Optimal Data Caching in Edge Computing," ICSO C 2019, Toulouse, France.
  26. Qinglan Peng et al., "Mobility‑Aware and Migration‑Enabled Online Edge User Allocation in Mobile Edge Computing," ICWS 2019, Milan, Italy.
  27. Hailiang Zhao et al., "A Mobility‑Aware Cross‑edge Computation Offloading Framework for Partitionable Applications," ICWS 2019, Milan, Italy.
  28. Wei Du et al., "Multiple Energy Harvesting Devices Enabled Joint Computation Offloading and Dynamic Resource Allocation for Mobile‑Edge Computing Systems," ICWS 2019, Milan, Italy.
  29. Ying Liu et al., "Data Caching Optimization in the Edge Computing Environment," ICWS 2019, Milan, Italy.
  30. Phu Lai et al., "Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing," ICSO 2018, Hangzhou, China.

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Topics

Edge Computing
Geolocation Data

Source

Organization: github

Created: 6/5/2018

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