DATASET
Open Source Community
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Qinglan Peng et al., "A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments," ICSO C 2020, Dubai, UAE.
- Guobing Zou et al., "TD‑EUA: Task‑decomposable Edge User Allocation with QoE Optimization," ICSO C 2020, Dubai, UAE.
- Wei Du et al., "Fault‑tolerating Edge Computing with Server Redundancy based on a Variant of Group Degree Centrality," ICSO C 2020, Dubai, UAE.
- Zhiwei Xu et al., "Distance‑aware Edge User Allocation with QoE Optimization," ICWS 2020, Beijing, China.
- Xiaoyu Xia et al., "Budgeted Data Caching based on k‑Median in Mobile Edge Computing," ICWS 2020, Beijing, China.
- Ying Liu et al., "Proactive Data Cache and Replacement in the Edge Computing Environment," CLOUD 2020, Beijing, China.
- Feifei Chen et al., "Optimal Application Deployment in Mobile Edge Computing Environment," CLOUD 2020, Beijing, China.
- Phu Lai et al., "Quality of Experience‑Aware User Allocation in Edge Computing Systems: A Potential Game," ICDCS 2020, Singapore.
- Guangming Cui et al., "Robustness‑oriented k Edge Server Placement," CCGrid 2020, Melbourne, Australia. DOI: 10.1109/CCGrid49817.2020.00-85
- Qiang He et al., "A Game‑Theoretical Approach for User Allocation in Edge Computing Environment," IEEE Transactions on Parallel and Distributed Systems, 2019.
- Phu Lai et al., "Edge User Allocation with Dynamic Quality of Service," ICSO C 2019, Toulouse, France.
- Xiaoyu Xia et al., "Graph‑based Optimal Data Caching in Edge Computing," ICSO C 2019, Toulouse, France.
- Qinglan Peng et al., "Mobility‑Aware and Migration‑Enabled Online Edge User Allocation in Mobile Edge Computing," ICWS 2019, Milan, Italy.
- Hailiang Zhao et al., "A Mobility‑Aware Cross‑edge Computation Offloading Framework for Partitionable Applications," ICWS 2019, Milan, Italy.
- 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.
- Ying Liu et al., "Data Caching Optimization in the Edge Computing Environment," ICWS 2019, Milan, Italy.
- 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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