EMC: Emotion-Aware Mobile Cloud Computing in 5G

被引:135
|
作者
Chen, Min [1 ]
Zhang, Yin [2 ]
Li, Yong [3 ]
Mao, Shiwen [4 ]
Leung, Victor C. M. [5 ,6 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China
[2] Zhongnan Univ Econ & Law, Sch Informat & Safety Engn, Wuhan, Peoples R China
[3] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[4] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA
[5] Univ British Columbia, Elect & Comp Engn, Vancouver, BC V5Z 1M9, Canada
[6] Univ British Columbia, Vancouver, BC V5Z 1M9, Canada
来源
IEEE NETWORK | 2015年 / 29卷 / 02期
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
D O I
10.1109/MNET.2015.7064900
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of 5G, the wireless world will be interconnected without barriers. This new technology will enable many challenging applications, and more personalized and interactive services are expected to be available with resource-limited mobile terminals. Fortunately, mobile cloud computing (MCC) emerging in the context of 5G has the potential to overcome this bottleneck, which enables many resource-intensive services for mobile users with the support of mobile big data delivery and cloud-assisted computing. In this article we propose a novel framework named EMC in the context of 5G, which offers personalized emotion-aware services by MCC and affective computing. With the proposed framework, the traditional MCC architecture is modified to achieve the required Quality of Experience in emotion-aware applications. Furthermore, we design a partitioning solution corresponding to the fundamental trade-off between the communication and computation in EMC. The framework would be helpful to provide personalized, human-centric, intelligent emotion-aware services in 5G.
引用
收藏
页码:32 / 38
页数:7
相关论文
共 50 条
  • [1] Exploiting Energy Efficient Emotion-Aware Mobile Computing
    Peng, Yuyang
    Peng, Limei
    Zhou, Ping
    Yang, Jun
    Rahman, Sk Md Mizanur
    Almogren, Ahmad
    MOBILE NETWORKS & APPLICATIONS, 2017, 22 (06): : 1192 - 1203
  • [2] Exploiting Energy Efficient Emotion-Aware Mobile Computing
    Yuyang Peng
    Limei Peng
    Ping Zhou
    Jun Yang
    Sk Md Mizanur Rahman
    Ahmad Almogren
    Mobile Networks and Applications, 2017, 22 : 1192 - 1203
  • [3] Emotion-Aware Connected Healthcare Big Data Towards 5G
    Hossain, M. Shamim
    Muhammad, Ghulam
    IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (04): : 2399 - 2406
  • [4] Ubiquitous emotion-aware computing
    van den Broek, Egon L.
    PERSONAL AND UBIQUITOUS COMPUTING, 2013, 17 (01) : 53 - 67
  • [5] Emotion-aware mobile edge computing system: A case study
    Yu, Qiao
    Xiao, Wenjing
    Jiang, Sheng
    Alhamid, Mohammed F.
    Muhammad, Ghulam
    Hossain, M. Shamim
    COMPUTERS & ELECTRICAL ENGINEERING, 2021, 92
  • [6] Ubiquitous emotion-aware computing
    Egon L. van den Broek
    Personal and Ubiquitous Computing, 2013, 17 : 53 - 67
  • [7] Emotion-aware Computing using Smartphone
    Ghosh, Surjya
    2017 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS (COMSNETS), 2017, : 592 - 593
  • [8] IEEE ACCESS SPECIAL SECTION EDITORIAL: EMOTION-AWARE MOBILE COMPUTING
    Zhang, Yin
    Fortino, Giancarlo
    Wang, Honggang
    Wang, Wei
    IEEE ACCESS, 2017, 5 : 12185 - 12188
  • [9] Editorial Note: Emotion-Aware Healthcare Systems Integrating with Wearable and Cloud Computing
    Zhang, Yin
    Fortino, Giancarlo
    Hu, Long
    Lin, Kai
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (17) : 21823 - 21823
  • [10] Editorial Note: Emotion-Aware Healthcare Systems Integrating with Wearable and Cloud Computing
    Multimedia Tools and Applications, 2018, 77 : 21823 - 21823