A Cloud-Edge Computing Framework for Cyber-Physical-Social Services

被引:229
作者
Wang, Xiaokang [1 ]
Yang, Laurence T. [1 ,3 ]
Xie, Xia [1 ]
Jin, Jirong [2 ]
Deen, M. Jamal [4 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Wuhan, Hubei, Peoples R China
[3] St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS, Canada
[4] McMaster Univ, Informat Technol, Hamilton, ON, Canada
关键词
Decision making - Edge computing - Cyber Physical System;
D O I
10.1109/MCOM.2017.1700360
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cyber-physical-social systems (CPSSs) represent an emerging paradigm encompassing the cyber world, physical world and social world. One of the main purposes of CPSSs is to provide high-quality, proactive, and personalized services for humans. For CPSSs to realize this purpose, a novel services framework is needed. In this article, we present a tensor-based cloud-edge computing framework that mainly includes the cloud and edge planes. The cloud plane is used to process large-scale, long-term, global data, which can be used to obtain decision making information such as the feature, law, or rule sets. The edge plane is used to process small-scale, short-term, local data, which is used to present the real-time situation. Also, personalized services will be directly provided for humans by the edge plane according to the obtained feature, law, or rule sets and the local high-quality data obtained in the edge plane. Then a tensor-based services model is proposed to match the requirement of users in the local CPSS. Finally, a case study about CPSS services is proposed to demonstrate the application features of the proposed framework.
引用
收藏
页码:80 / 85
页数:6
相关论文
共 15 条
[1]  
Ahmed ANR, 2016, IEEE IMTC P, P1327
[2]   Information and communications technologies for elderly ubiquitous healthcare in a smart home [J].
Deen, M. Jamal .
PERSONAL AND UBIQUITOUS COMPUTING, 2015, 19 (3-4) :573-599
[3]   A Tensor-Based Approach for Big Data Representation and Dimensionality Reduction [J].
Kuang, Liwei ;
Hao, Fei ;
Yang, Laurence T. ;
Lin, Man ;
Luo, Changqing ;
Min, Geyong .
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2014, 2 (03) :280-291
[4]  
Kviatkovsky Igor, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), P84, DOI 10.1109/CVPRW.2015.7301323
[5]   Mobile Crowdsensing in Software Defined Opportunistic Networks [J].
Li, He ;
Ota, Kaoru ;
Dong, Mianxiong ;
Guo, Minyi .
IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (06) :140-145
[6]   Wearable Sensors for Remote Health Monitoring [J].
Majumder, Sumit ;
Mondal, Tapas ;
Deen, M. Jamal .
SENSORS, 2017, 17 (01)
[7]  
Mandal P., 2017, IEEE J BIOMED HEALTH, VPP, P1
[8]   THE BIG CHALLENGES OF BIG DATA [J].
Marx, Vivien .
NATURE, 2013, 498 (7453) :255-260
[9]   Ontology-based data semantic management and application in IoT- and cloud-enabled smart homes [J].
Tao, Ming ;
Ota, Kaoru ;
Dong, Mianxiong .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 76 :528-539
[10]  
Vasilescu M. A. O., 2002, P 2002 EUR C COMP VI, P1