Mobility-aware and migration-enabled online edge user allocation in mobile edge computing
文献类型：会议论文
| 作者 | Peng, Qinglan6; Xia, Yunni6; Feng, Zeng5; Lee, Jia6; Wu, Chunrong6; Luo, Xin4 ; Zheng, Wanbo3; Liu, Hui2; Qin, Yidan7; Chen, Peng1
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| 出版日期 | 2019 |
| 会议日期 | July 8, 2019 - July 13, 2019 |
| 会议地点 | Milan, Italy |
| DOI | 10.1109/ICWS.2019.00026 |
| 页码 | 91-98 |
| 英文摘要 | The rapid development of mobile communication technologies prompts the emergence of mobile edge computing (MEC). As the key technology toward 5th generation (5G) wireless networks, it allows mobile users to offload their computational tasks to nearby servers deployed in base stations to alleviate the shortage of mobile resource. Nevertheless, various challenges, especially the edge-user-allocation problem, are yet to be properly addressed. Traditional studies consider this problem as a static global optimization problem where user positions are considered to be time-invariant and user-mobility-related information is not fully exploited. In reality, however, edge users are usually with high mobility and time-varying positions, which usually result in users reallocations among different base stations and impact on user-perceived quality-of-service (QoS). To overcome the above limitations, we consider the edge user allocation problem as an online decision-making and evolvable process and develop a mobility-aware and migration-enabled approach, named MobMig, for allocating users at real-time. Experiments based on real-world MEC dataset clearly demonstrate that our approach achieves higher user coverage rate and lower reallocations than traditional ones. © 2019 IEEE. |
| 会议录 | 26th IEEE International Conference on Web Services, ICWS 2019
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| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/9780]  |
| 专题 | 大数据挖掘及应用中心 |
| 作者单位 | 1.School of Computer and Software Engineering, Xihua University, Chengdu, China 2.School of Computer and Communication Engineering, China University of Petroleum, Qingdao, China; 3.Data Science Research Center, Kunming University of Science and Technology, Kunming, China; 4.Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China; 5.DISCOVERY TECHNOLOGY (Shenzhen) Limited, Shenzhen, China; 6.Software Theory and Technology Chongqing Key Lab, Chongqing University, Chongqing, China; 7.School of Software, Xinjiang University, Urumqi, China; |
| 推荐引用方式 GB/T 7714 | Peng, Qinglan,Xia, Yunni,Feng, Zeng,et al. Mobility-aware and migration-enabled online edge user allocation in mobile edge computing[C]. 见:. Milan, Italy. July 8, 2019 - July 13, 2019. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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