A Survey on Service Migration in Mobile Edge Computing

被引:240
|
作者
Wang, Shangguang [1 ]
Xu, Jinliang [1 ]
Zhang, Ning [2 ]
Liu, Yujiong [1 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Texas A&M Univ Corpus Christi, Dept Comp Sci, Corpus Christi, TX 78412 USA
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Mobile edge computing; service migration; live migration; migration path selection; cellular handover; VIRTUAL MACHINE MIGRATION; CLOUD; MANAGEMENT; INTERWORKING; ALLOCATION; PLACEMENT; NETWORKS;
D O I
10.1109/ACCESS.2018.2828102
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile edge computing (MEC) provides a promising approach to significantly reduce network operational cost and improve quality of service (QoS) of mobile users by pushing computation resources to the network edges, and enables a scalable Internet of Things (IoT) architecture for time-sensitive applications (e-healthcare, real-time monitoring, and so on.). However, the mobility of mobile users and the limited coverage of edge servers can result in significant network performance degradation, dramatic drop in QoS, and even interruption of ongoing edge services; therefore, it is difficult to ensure service continuity. Service migration has great potential to address the issues, which decides when or where these services are migrated following user mobility and the changes of demand. In this paper, two conceptions similar to service migration, i.e., live migration for data centers and handover in cellular networks, are first discussed. Next, the cutting-edge research efforts on service migration in MEC are reviewed, and a devisal of taxonomy based on various research directions for efficient service migration is presented. Subsequently, a summary of three technologies for hosting services on edge servers, i.e., virtual machine, container, and agent, is provided. At last, open research challenges in service migration are identified and discussed.
引用
收藏
页码:23511 / 23528
页数:18
相关论文
共 50 条
  • [21] Intelligent Service Migration Based on Hidden State Inference for Mobile Edge Computing
    Li, Xiaoqian
    Chen, Siyu
    Zhou, Yakun
    Chen, Jienan
    Feng, Gang
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2022, 8 (01) : 380 - 393
  • [22] Service migration optimization method for resource competition in mobile edge computing scenarios
    Wang, Haiyan
    Zhang, Lin
    Luo, Jian
    Tongxin Xuebao/Journal on Communications, 2024, 45 (08): : 37 - 50
  • [23] Study on Dynamic Service Migration Strategy with Energy Optimization in Mobile Edge Computing
    Hu, Jintian
    Wang, Gaocai
    Xu, Xiaotong
    Lu, Yuting
    MOBILE INFORMATION SYSTEMS, 2019, 2019
  • [24] Multitier Service Migration Framework Based on Mobility Prediction in Mobile Edge Computing
    Yang, Run
    He, Hui
    Zhang, Weizhe
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [25] Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
    Wang, Shiqiang
    Urgaonkar, Rahul
    Zafer, Murtaza
    He, Ting
    Chan, Kevin
    Leung, Kin K.
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2019, 27 (03) : 1272 - 1288
  • [26] A Service Migration Strategy Based on Multiple Attribute Decision in Mobile Edge Computing
    Zhao, Dan
    Jin, Yuehui
    Yang, Tan
    Xu, Yue
    2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017), 2017, : 986 - 990
  • [27] Location Service in Mobile Edge Computing
    Pencheva, Evelina
    Atanasov, Ivaylo
    Kassev, Kiril
    Trifonov, Ventsislav
    2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017), 2017, : 617 - 622
  • [28] Cognitive Service in Mobile Edge Computing
    Ding, Chuntao
    Zhou, Ao
    Ma, Xiao
    Wang, Shangguang
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2020), 2020, : 181 - 188
  • [29] A Survey on Caching in Mobile Edge Computing
    Zhao, Yuhan
    Zhang, Wei
    Zhou, Longquan
    Cao, Wenpeng
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [30] Efficient Mobility Management in Mobile Edge Computing Networks: Joint Handover and Service Migration
    Guo, Fengxian
    Peng, Mugen
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (20) : 18237 - 18247