Big Data Meet Cyber-Physical Systems: A Panoramic Survey

被引:164
作者
Atat, Rachad [1 ]
Liu, Lingjia [2 ]
Wu, Jinsong [3 ]
Li, Guangyu [4 ]
Ye, Chunxuan [5 ]
Yi, Yang [2 ]
机构
[1] Texas A&M Univ, Elect & Comp Engn Dept, Doha, Qatar
[2] Virginia Tech, Bradley Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[3] Univ Chile, Dept Elect Engn, Santiago 8370451, Chile
[4] Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China
[5] InterDigital Commun LLC, San Diego, CA 92121 USA
基金
美国国家科学基金会;
关键词
Cyber-physical systems (CPS); Internet of Things (IoT); context-awareness; social computing; cloud computing; big data; clustering; data mining; data analytics; machine learning; real-time analytics; space-time analytics; cybersecurity; green; energy; sustainability; INDOOR FINGERPRINTING LOCALIZATION; DATA ANALYTICS; CELLULAR NETWORKS; ENERGY-EFFICIENT; DATA FUSION; CLOUD; CHALLENGES; INTERNET; OPTIMIZATION; FRAMEWORK;
D O I
10.1109/ACCESS.2018.2878681
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which are foreseen to revolutionize our world via creating new services and applications in a variety of sectors, such as environmental monitoring, mobile-health systems, intelligent transportation systems, and so on. The information and communication technology sector is experiencing a significant growth in data traffic, driven by the widespread usage of smartphones, tablets, and video streaming, along with the significant growth of sensors deployments that are anticipated in the near future. It is expected to outstandingly increase the growth rate of raw sensed data. In this paper, we present the CPS taxonomy via providing a broad overview of data collection, storage, access, processing, and analysis. Compared with other survey papers, this is the first panoramic survey on big data for CPS, where our objective is to provide a panoramic summary of different CPS aspects. Furthermore, CPS requires cybersecurity to protect them against malicious attacks and unauthorized intrusion, which become a challenge with the enormous amount of data that are continuously being generated in the network. Thus, we also provide an overview of the different security solutions proposed for CPS big data storage, access, and analytics. We also discuss big data meeting green challenges in the contexts of CPS.
引用
收藏
页码:73603 / 73636
页数:34
相关论文
共 331 条
[61]   Big Data: A Survey [J].
Chen, Min ;
Mao, Shiwen ;
Liu, Yunhao .
MOBILE NETWORKS & APPLICATIONS, 2014, 19 (02) :171-209
[62]   Dynamic Urban Surveillance Video Stream Processing Using Fog Computing [J].
Chen, Ning ;
Chen, Yu ;
You, Yang ;
Ling, Haibin ;
Liang, Pengpeng ;
Zimmermann, Roger .
2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM), 2016, :105-112
[63]   Distributed Real-Time Anomaly Detection in Networked Industrial Sensing Systems [J].
Chen, Po-Yu ;
Yang, Shusen ;
McCann, Julie A. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (06) :3832-3842
[64]  
Chen S., 2012, 2012 IEEE C EV COMP, P1
[65]   Statistical Evaluation of Efficiency and Possibility of Earthquake Predictions with Gravity Field Variation and its Analytic Signal in Western China [J].
Chen, Shi ;
Jiang, Changsheng ;
Zhuang, Jiancang .
PURE AND APPLIED GEOPHYSICS, 2016, 173 (01) :305-319
[66]   Discriminative Hierarchical K-Means Tree for Large-Scale Image Classification [J].
Chen, Shizhi ;
Yang, Xiaodong ;
Tian, Yingli .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (09) :2200-2205
[67]  
Chen Thomas C., 2009, 2009 WRI World Congress on Computer Science and Information Engineering (CSIE 2009), P670, DOI 10.1109/CSIE.2009.945
[68]   Concurrent Data Collection Trees for IoT Applications [J].
Cheng, Chi-Tsun ;
Ganganath, Nuwan ;
Fok, Kai-Yin .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (02) :793-799
[69]   Big Data for Remote Sensing: Challenges and Opportunities [J].
Chi, Mingmin ;
Plaza, Antonio ;
Benediktsson, Jon Atli ;
Sun, Zhongyi ;
Shen, Jinsheng ;
Zhu, Yangyong .
PROCEEDINGS OF THE IEEE, 2016, 104 (11) :2207-2219
[70]  
Chopade P, 2015, 2015 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST), DOI 10.1109/THS.2015.7225331