FOG-engine: Towards Big Data Analytics in the

被引：29
|
作者：
Mehdipour, Farhad [1 ,2 ]
Javadi, Bahman [3 ]
Mahanti, Aniket [4 ]
机构：
[1] Tech Futures Lab, Auckland, New Zealand
[2] Unitec Inst Technol, Auckland, New Zealand
[3] Univ Western Sydney, Sydney, NSW, Australia
[4] Univ Auckland, Auckland, New Zealand
来源：
2016 IEEE 14TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 14TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 2ND INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/DATACOM/CYBERSC | 2016年
关键词：
Cloud computing; Fog computing; Internet of Things; Big data; Data analytics;
D O I：
10.1109/DASC-PICom-DataCom-CyberSciTec.2016.116
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Existing platforms fall short in providing effective solutions for big data analytics while the demands for processing large quantities of data in real-time are increasing. Moving data analytics towards where the data is generated and stored could be a solution for addressing this issue. In this paper, we propose a solution referred as FOG-engine, which is integrated into IoTs near the ground and facilitates data analytics before offloading large amounts of data to a central location. In this work, we introduce a model for data analytic using FOG-engines and discuss our plan for evaluating its efficacy in terms of several performance metrics such as processing speed, network bandwidth, and data transfer size.
引用
收藏
页码：640 / 646
页数：7
相关论文
共 50 条
  • [1] Towards an Architecture for Big Data Analytics Leveraging Edge/Fog Paradigms
    Diaz-de-Arcaya, Josu
    Minon, Raul
    Torre-Bastida, Ana, I
    13TH EUROPEAN CONFERENCE ON SOFTWARE ARCHITECTURE (ECSA 2019), VOL 2, 2019, : 173 - 176
  • [2] Fog Computing for Smart Cities' Big Data Management and Analytics: A Review
    Badidi, Elarbi
    Mahrez, Zineb
    Sabir, Essaid
    FUTURE INTERNET, 2020, 12 (11) : 1 - 29
  • [3] Visual analytics towards big data
    Ren, Lei
    Du, Yi
    Ma, Shuai
    Zhang, Xiao-Long
    Dai, Guo-Zhong
    Ruan Jian Xue Bao/Journal of Software, 2014, 25 (09): : 1909 - 1936
  • [4] Fog computing: a platform for big-data marketing analytics
    Hornik, Jacob
    Rachamim, Matti
    Graguer, Sergei
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2023, 6
  • [5] Analytics towards big data
    State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing
    100876, China
    不详
    100876, China
    不详
    100876, China
    Beijing Youdian Daxue Xuebao, 3 (1-12): : 1 - 12
  • [6] IoT big data analytics for smart homes with fog and cloud computing
    Yassine, Abdulsalam
    Singh, Shailendra
    Hossain, M. Shamim
    Muhammad, Ghulam
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 91 : 563 - 573
  • [7] Big Data Analytics with Fog Computing in integrated Cloud Fog and IoT Architecture for Smart Devices
    Ahmad, Sultan
    Afzal, Mohammad Mazhar
    ALharbi, Abdullah
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2020, 20 (06): : 171 - 177
  • [8] FogGIS: Fog Computing for Geospatial Big Data Analytics
    Barik, Rabindra K.
    Dubey, Harishchandra
    Samaddar, Arun B.
    Gupta, Rajan D.
    Ray, Prakash K.
    2016 IEEE UTTAR PRADESH SECTION INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND ELECTRONICS ENGINEERING (UPCON), 2016, : 613 - 618
  • [9] Decomposing Data Analytics in Fog Networks
    Chang, Ta-Cheng
    Zheng, Liang
    Gorlatova, Maria
    Gitau, Chege
    Huang, Ching-Yao
    Chiang, Mung
    PROCEEDINGS OF THE 15TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS (SENSYS'17), 2017,
  • [10] Big Data Analytics for Search Engine Optimization
    Drivas, Ioannis C.
    Sakas, Damianos P.
    Giannakopoulos, Georgios A.
    Kyriaki-Manessi, Daphne
    BIG DATA AND COGNITIVE COMPUTING, 2020, 4 (02) : 1 - 22
12345