Big Data Analytics on IOT: Challenges, Open Research Issues and Tools

Mantripatjit Kaur¹ , Anjum Mohd Aslam²

1. Dept. of CSE-IBM, Chandigarh University, Mohali, India.
2. Dept. of CSE, Chandigarh University, Mohali, India.

Section:Review Paper, Product Type: Isroset-Journal
Vol.6 , Issue.3 , pp.81-85, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i3.8185

Online published on Jun 30, 2018

Copyright © Mantripatjit Kaur, Anjum Mohd Aslam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

1146 Views    395 Downloads    237 Downloads

Abstract :
A tremendous repository of terabytes of data is generated every day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of such huge data requires a lot of efforts at multiple levels to extract knowledge for decision making. Therefore, big data analysis is a current area of research and development. The main objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it. As a result, this article provides a platform to explore big data at numerous stages. Additionally, it opens a new horizon for researchers to develop the solution, based on the challenges and open research issues.

Key-Words / Index Term :
Co Big data analytics; Hadoop; Massive data; Structured data; Unstructured Data

References :
[1]. D. Bandyopadhyay, and J. Sen, (2011) “Internet of Things: Applications and Challengers in Technology and Standardization,” Wireless Pers Commum Springer, Vol. 58, pp. 49-69.
[2]. L. Atzori, A. Iera, and G. Morabito, (2010) “The Internet of Things: A survey,” Computer Networks, Vol. 54, Iss. 15, pp. 2787.
[3]. L. Atzori, A. Iera, and G. Morabito, (2010) “The Internet of Things: A survey,” Computer Networks, Vol. 54, Iss. 15, pp. 2787-2805.
[4]. S. Lohr, (2012) The Age of Big Data, The New York Times, February 11, 2012.
[5]. N. R. Shikalgar, and D. Badgujar, (2013) “Online Review Mining for Forecasting Sales,” International Journal of Research in Engineering and Technology, Vol. 2, Iss. 12, pp. 53-55.
[6]. J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. H. Byers, (2011) Big data: The next frontier for innovation, competition, and productivity, McKinsey Global Institute.
[7]. S. Jun, and J. Choi, (2014) “Big Data and Statistics, What’s the Connection?” Proceedings on KIIS Spring Conference, Vol. 24, No. 1, pp. 183-184.
[8] IEEE (2014) IEEE xplore, http://ieeexplore.ieee.org. [10]. USPTO (2014) The United States Patent and Trademark Office, http://www.uspto.gov. [9]http://cloudonomic.blogspot.com/2015/03/iot-and-big-data
[10] M.R. Bashir , A.Q. Gill , Towards an iot big data analytics framework: Smart buildings systems, in: High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Con-ference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on, IEEE, 2016, pp. 1325–1332 . [11] C. Lee , C. Yeung , M. Cheng , Research on iot based cyber physical system for industrial big data analytics, in: Industrial Engineering and Engineer-ing Management (IEEM), 2015 IEEE International Conference on, IEEE, 2015, pp. 1855–1859 .
[12] P. Rizwan , K. Suresh , M.R. Babu , Real-time smart traffic management system for smart cities by using internet of things and big data, in: Emerging Techno- logical Trends (ICETT), International Conference on, IEEE, 2016, pp. 1–7 . [13] Q. Zhang , X. Zhang , Q. Zhang , W. Shi , H. Zhong , Firework: Big data sharing and processing in collaborative edge environment, in: Hot Topics in Web Sys- tems and Technologies (HotWeb), 2016 Fourth IEEE Workshop on, IEEE, 2016, pp. 20–25 .
[14] M.M. Rathore , A. Ahmad , A. Paul , Iot-based smart city development using big data analytical approach, in: Automatica (ICA-ACCA), IEEE International Con- ference on, IEEE, 2016, pp. 1–8 .
[15] B. Ahlgren , M. Hidell , E.C.-H. Ngai , Internet of things for smart cities: interoperability and open data, IEEE Internet Comput. 20 (6) (2016 ) 52–56 .
[16] O.B. Sezer , E. Dogdu , M. Ozbayoglu , A. Onal , An extended iot framework with semantics, big data, and analytics, in: Big Data (Big Data), 2016 IEEE Interna- tional Conference on, IEEE, 2016, pp. 1849–1856 .
[17]B. Cheng , A. Papageorgiou , F. Cirillo , E. Kovacs , Geelytics: Geo-distributed edge analytics for large scale iot systems based on dynamic topology, in: Internet of Things (WF-IoT), 2015 IEEE 2nd World Forum on, IEEE, 2015, pp. 565–570 .
[18] H. Wang , O.L. Osen , G. Li , W. Li , H.-N. Dai , W. Zeng , Big data and industrial internet of things for the maritime industry in northwestern norway, in: TEN- CON 2015-2015 IEEE Region 10 Conference, IEEE, 2015, pp. 1–5 .
[19] J.L. Pérez , D. Carrera , Performance characterization of the servioticy api: an iot-as-a-service data management platform, in: Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on, IEEE, 2015, pp. 62–71 .
[20] M. Villari , A. Celesti , M. Fazio , A. Puliafito , Alljoyn lambda: an architecture for the management of smart environments in iot, in: Smart Computing Work- shops (SMARTCOMP Workshops), 2014 International Conference on, IEEE, 2014, pp. 9–14 .
[21] A.J. Jara , D. Genoud , Y. Bocchi , Big data for cyber physical systems: an analysis of challenges, solutions and opportunities, in: Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014 Eighth International Conference on, IEEE, 2014, pp. 376–380 .
[22]C. Vuppalapati , A. Ilapakurti , S. Kedari , The role of big data in creating sense ehr, an integrated approach to create next generation mobile sensor and wear- able data driven electronic health record (ehr), in: Big Data Computing Service and Applications (BigDataService), 2016 IEEE Second International Conference on, IEEE, 2016, pp. 293–296 .
[23] Z. Ding , X. Gao , J. Xu , H. Wu , Iot-statisticdb: a general statistical database clus- ter mechanism for big data analysis in the internet of things, in: Green Com- puting and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing, IEEE, 2013, pp. 535–543
[24] A. Ahmad , M.M. Rathore , A. Paul , S. Rho , Defining human behaviors using big data analytics in social internet of things, in: Advanced Information Network- ing and Applications (AINA), 2016 IEEE 30th International Conference on, IEEE, 2016, pp. 1101–1107 .
[25] E. Ahmed, M.H. Rehmani, Introduction to the special section on social collab- orative internet of things, 2017.
[26] I.-L. Yen , G. Zhou , W. Zhu , F. Bastani , S.-Y. Hwang , A smart physical world based on service technologies, big data, and game-based crowd sourcing, in: Web Services (ICWS), 2015 IEEE International Conference on, IEEE, 2015, pp. 765–772 . [27] R.P. Minch , Location privacy in the era of the internet of things and big data analytics, in: System Sciences (HICSS), 2015 48th Hawaii International Confer- ence on, IEEE, 2015, pp. 1521–1530 .
[28] Jourdan and R. K. T. E. Rainer Marshall, ‘‘Business intelligence: An analysis of the literature 1,’’ Inf. Syst. Manage., vol. 25, no. 2, pp. 121–131, 2008.