Mobility-aware and migration-enabled online edge user allocation in mobile edge computing

doi:10.1109/ICWS.2019.00026

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	Mobility-aware and migration-enabled online edge user allocation in mobile edge computing
	Peng, Qinglan 1; Xia, Yunni 1; Feng, Zeng 2; Lee, Jia 1; Wu, Chunrong 1; Luo, Xin 3; Zheng, Wanbo 4; Liu, Hui 5; Qin, Yidan 6; Chen, Peng 7
	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
语种	英语
内容类型	会议论文
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.Software Theory and Technology Chongqing Key Lab, Chongqing University, Chongqing, China; 2.DISCOVERY TECHNOLOGY (Shenzhen) Limited, Shenzhen, China; 3.Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China; 4.Data Science Research Center, Kunming University of Science and Technology, Kunming, China; 5.School of Computer and Communication Engineering, China University of Petroleum, Qingdao, China; 6.School of Software, Xinjiang University, Urumqi, China; 7.School of Computer and Software Engineering, Xihua University, Chengdu, 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.