Data Upload in Mobile Edge Computing over ICN

被引:4
|
作者
Scherb, Christopher [1 ]
Emde, Samuel [1 ]
Marxer, Claudio [1 ]
Tschudin, Christian [1 ]
机构
[1] Univ Basel, Basel, Switzerland
关键词
Information Centric Networking; Content Centric Networking; Named Data Networking; Named Function Networking; Edge Computing; Mobility;
D O I
10.1109/gcwkshps45667.2019.9024397
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Limited energy capacity and computation power is a common characteristic of mobile but connected devices. Edge computing, i.e. outsourcing computation task to close-by stationary service providers, is a widespread approach to still deploy computation-intensive applications on such devices. However, if moving at high speed (like for instance vehicles or trains), the contact time with network access points are very short (in the range of 3-5sec). Based on this fact, we identify the two challenging situations which are expected to happen very frequently and therefore should be considered when designing the communication system's architecture: (a) A client is connected via different network access points when scheduling a computation and when the result is ready for delivery. (b) A client's network access point changes (potentially several times) while uploading computation arguments or downloading computation results. In this paper, we pursue an information-centric and named-function networking approach to tackle these challenges.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Enabling Ensemble Reinforcement Learning with ICN in Mobile Edge Computing Environments
    Huang, Yaodong
    Kong, Biying
    Feng, Wenliang
    Mo, Changkang
    Liu, Han
    Yuan, Yukun
    Cui, Laizhong
    2024 IEEE 21ST INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SMART SYSTEMS, MASS 2024, 2024, : 428 - 436
  • [2] Joint Upload-Download TCP Acceleration Over Mobile Data Networks
    Liu, Ke
    Aggarwal, Vaneet
    Shao, Ziyu
    Chen, Mingyu
    2017 14TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON), 2017, : 118 - 126
  • [3] Serving at the Edge: An Edge Computing Service Architecture Based on ICN
    Fan, Zhenyu
    Yang, Wang
    Wu, Fan
    Cao, Jing
    Shi, Weisong
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, 22 (01)
  • [4] Data Upload in LTE-A Mobile Networks by Using Shared Segmented Upload
    Tavanpour, Misagh
    Mikhail, Jan
    Moallemi, Mohammad
    Wainer, Gabriel
    Boudreau, Gary
    Casselman, Ronald
    JOURNAL OF NETWORKS, 2015, 10 (04) : 252 - 264
  • [5] Enhancing Mobile User Performance Through Data Caching Over Edge Computing Wireless Networks
    Sheraz, Muhammad
    Wang, Fang
    Li, Yong
    2018 14TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2018, : 1148 - 1153
  • [6] Timely Probabilistic Data Preprocessing in Mobile Edge Computing
    Zou, Peng
    Wei, Xianglin
    Ozel, Omur
    Lan, Tian
    Subramaniam, Suresh
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,
  • [7] Intelligent mobile edge computing for IoT big data
    Jeon, Gwanggil
    Albertini, Marcelo
    Bellandi, Valerio
    Chehri, Abdellah
    COMPLEX & INTELLIGENT SYSTEMS, 2022, 8 (05) : 3595 - 3601
  • [8] Intelligent mobile edge computing for IoT big data
    Gwanggil Jeon
    Marcelo Albertini
    Valerio Bellandi
    Abdellah Chehri
    Complex & Intelligent Systems, 2022, 8 : 3595 - 3601
  • [9] Data Caching Optimization With Fairness in Mobile Edge Computing
    Zhou, Jingwen
    Chen, Feifei
    He, Qiang
    Xia, Xiaoyu
    Wang, Rui
    Xiang, Yong
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 16 (03) : 1750 - 1762
  • [10] Data Processing Delay Optimization in Mobile Edge Computing
    Li, Guangshun
    Wang, Jiping
    Wu, Junhua
    Song, Jianrong
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2018,