REVIEW ON BIG DATA CHALLENGES FOR 4G REVOLUTIONS

Kandhammal K., S. Duraisamy

Abstract


With the development of industries, we already know about the effects of third industrial revolution. Following the development of Cyber-Physical Systems (CPS) collaborated with Big Data, industrial wireless network and some other enabling technologies the fourth industrial revolution is being gradually rolled out. This paper discusses about the industrial revolution and the contribution of big data to create a new era known as industry 4.0. It focuses on various aspects of big data which is used to produce a collaborative community starting from production to sales it will be interconnected by using advanced technology such as embedded systems, wireless sensor network, industrial robots, 3D printing,  data science, big data, cloud computing, Internet of Things etc., IT deeply focuses on Industrial big data pipeline for data driven analytics, huge scale of productivity, quick decisions based on sale history etc., for a large scale smart manufacturing industries. Survey of benefits by using big data in industries will be discussed.


Keywords


Big data, data science, Industry 4.0, Industrial big data ,cyber physical system, Self awareness and self maintenance machine, smart productivity etc.,

Full Text:

PDF

References


Dilpreet Singh and Chandan K Reddy , “A survey on platforms for big data analytics,” journal of big data springer 2014.

Nemanja Trifunovic, Veljko Milutinovic, Jakob Salom and Anton Kos,“ Paradigm Shift in Big Data SuperComputing: DataFlow vs. ControlFlow, ” journal of big data springer 2015, DOI 10.1186/s40537-014-0010-z.

Richard Zuech, Taghi M Khoshgoftaar and Randall Wald,” Intrusion Detection and big Heterogeneous Data : A survey” journal of big data springer 2015,DOI 10.1186/s40537-015-0013-4.

Chun‑Wei Tsai1, Chin‑Feng Lai2, Han‑Chieh Chao1,3,4 and Athanasios V. Vasilakos5,” Big data analytics: a survey,” journal of big data springer 2015, DOI 10.1186/s40537-015-0030-3.

Research Article,”Implementing Smart Factory of Industrie 4.0: An Outlook,”ShiyongWang, JiafuWan, Di Li, and Chunhua Zhang. Hindawi Publishing Corporation, International Journal of Distributed Sensor Networks, Volume 2016, Article ID 3159805.

Jiafu Wan , Hu Cai*, Keliang Zhou,” Industrie 4.0: Enabling Technologies,” In Proc. of 2015 International Conference on Intelligent Computing and Internet of Things, Harbin, China, January 17-18, 2015

F.Wang, “From social computing to social manufacturing: the coming industrial revolution and new frontier in cyber-physical-social space,”Bulletin of chinese Academy of Sciences, vol. 27, no. 6, pp.658-669, 2012.

J. Cecílio and P. Furtado, “Wireless sensors in industrial time-critical environments,”Computer Communications and Networks, 2014, ISBN: 978-3-319-02888-0.

P. O Donovan , K. Leahy, K. Bruton and D. T. J. O’Sullivan,”An industrial big data pipeline for data‑driven analytics maintenance applications in large‑scale smart manufacturing facilities” journal of big data springer 2015, DOI 10.1186/s40537-015-0034-z.

E-book DATA SCIENTIST:THE NUMBERS GAME DECIPHERED.




DOI: https://doi.org/10.26483/ijarcs.v9i5.6310

Refbacks

  • There are currently no refbacks.




Copyright (c) 2018 International Journal of Advanced Research in Computer Science