Scalable Fog Computing with Service Offloading in Bus Networks

被引:64
|
作者
Ye, Dongdong [1 ]
Wu, Maoqiang [1 ]
Tang, Shensheng [2 ]
Yu, Rong [1 ]
机构
[1] Guangdong Univ Technol, Guangzhou, Guangdong, Peoples R China
[2] Missouri Western State Univ, St Joseph, MO USA
关键词
scalable; cloud computing; fog computing; bus networks; offloading;
D O I
10.1109/CSCloud.2016.34
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the rapid increase of mobile devices, the computing load of roadside cloudlets is fast growing. When the computation tasks of the roadside cloudlet reach the limit, the overload may generate heat radiation problem and unacceptable delay to mobile users. In this paper, we leverage the characteristics of buses and propose a scalable fog computing paradigm with servicing offloading in bus networks. The bus fog servers not only provide fog computing services for the mobile users on bus, but also are motivated to accomplish the computation tasks offloaded by roadside cloudlets. By this way, the computing capability of roadside cloudlets is significantly extended. We consider an allocation strategy using genetic algorithm (GA). With this strategy, the roadside cloudlets spend the least cost to offload their computation tasks. Meanwhile, the user experience of mobile users are maintained. The simulations validate the advantage of the propose scheme.
引用
收藏
页码:247 / 251
页数:5
相关论文
共 50 条
  • [41] Secure Computation Offloading and Service Caching in Mobile Edge Computing Networks
    Wu, Mengru
    Li, Kexin
    Qian, Liping
    Wu, Yuan
    Lee, Inkyu
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (02) : 432 - 436
  • [42] Distributed Computation Offloading in Resource Limited Fog Computing
    Zhu, Hongbin
    Zhu, Zhenghang
    Luo, Xiliang
    Qian, Hua
    2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL), 2019,
  • [43] A Layered Strategy for Reducing Offloading Latency in Fog Computing
    Chebaane, Ahmed
    Arshad, Muhammad Kamran
    Burger, Florian
    Khelil, Abdelmajid
    2024 9TH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING, FMEC 2024, 2024, : 176 - 182
  • [44] Class of Service in Fog Computing
    Guevara, Judy C.
    Bittencourt, Luiz F.
    da Fonseca, Nelson L. S.
    2017 IEEE 9TH LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS (LATINCOM), 2017,
  • [45] The Fog Computing Service for Healthcare
    Shi, YingJuan
    Ding, GeJian
    Wang, Hui
    Roman, H. Eduardo
    Lu, Si
    2015 2ND INTERNATIONAL SYMPOSIUM ON FUTURE INFORMATION AND COMMUNICATION TECHNOLOGIES FOR UBIQUITOUS HEALTHCARE (UBI-HEALTH TECH), 2015,
  • [46] Performance Analysis of the Offloading Scheme in a Fog Computing System
    Sopin, E. S.
    Daraseliya, A. V.
    Correia, L. M.
    2018 10TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2018): EMERGING TECHNOLOGIES FOR CONNECTED SOCIETY, 2018,
  • [47] An Energy Consumption Oriented Offloading Algorithm for Fog Computing
    Zhao, Xiaohui
    Zhao, Liqiang
    Liang, Kai
    QUALITY, RELIABILITY, SECURITY AND ROBUSTNESS IN HETEROGENEOUS NETWORKS, 2017, 199 : 293 - 301
  • [48] User satisfaction-based energy-saving computation offloading in fog computing networks
    Qun Li
    Bei Tang
    Jianxin Li
    Siguang Chen
    The Journal of Supercomputing, 2024, 80 : 620 - 641
  • [49] User satisfaction-based energy-saving computation offloading in fog computing networks
    Li, Qun
    Tang, Bei
    Li, Jianxin
    Chen, Siguang
    JOURNAL OF SUPERCOMPUTING, 2024, 80 (01): : 620 - 641
  • [50] Fog Computing for Energy-Efficient Data Offloading of IoT Applications in Industrial Sensor Networks
    Hazra, Abhishek
    Adhikari, Mainak
    Amgoth, Tarachand
    Srirama, Satish Narayana
    IEEE SENSORS JOURNAL, 2022, 22 (09) : 8663 - 8671