i-manager Publications

Edge analytics on Internet of Things: A Survey

K Ramya Sree*, B. Lalitha**

* Research Scholar, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.

** Assistant Professor, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.

Periodicity:December - February'2018
DOI : https://doi.org/10.26634/jcom.5.4.14272

Abstract

Internet of Things (IoT) is a system of connected physical objects that are accessible through internet. Values that are allocated to an IP address have the potential to collect and fetch the data over a network, without manual involvement. With continuous developments in Internet of Things (IoT) applications, the conventional computing is facing severe challenges such as high latency, decreased efficiency, long transmission times and increased power consumption. In order to meet these requirements, the data computation and service supply are moved from cloud to edge known as Edge Analytics. An Edge Analytics application utilizes the handling energy of IoT gadgets to channel, pre-process, and total the IoT information. It utilizes the power and adaptability of Cloud administrations to run complex examination on the information, that refers to the enabling technologies allowing computation to be performed at the edge of the network. The term “edge” refers to any computing and network resources along the path between data sources and cloud data centers.

Keywords

Internet of Things (IoT), Edge Analytics, Edge Computing.

How to Cite this Article?

Sree, K.R., and Lalitha, B. (2018). Edge analytics on Internet of Things: A Survey. i-manager’s Journal on Computer Science, 5(4), 36-40. https://doi.org/10.26634/jcom.5.4.14272

References

[1]. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376.

[2]. Ananthanarayanan, G., Bahl, P., Bodík, P., Chintalapudi, K., Philipose, M., Ravindranath, L., & Sinha, S. (2017). Real-Time Video Analytics: The Killer App for Edge Computing. Computer, 50(10), 58-67.

[3]. Chen, Z., Xu, G., Mahalingam, V., Ge, L., Nguyen, J., Yu, W., & Lu, C. (2016). A cloud computing based network monitoring and threat detection system for critical infrastructures. Big Data Research, 3, 10-23.

[4]. Frankston, B. (2016). Mobile-Edge Computing versus The Internet?: Looking beyond the literal meaning of MEC. IEEE Consumer Electronics Magazine, 5(4), 75-76.

[5]. Jackson, K. R., Ramakrishnan, L., Muriki, K., Canon, S., Cholia, S., Shalf, J., & Wright, N. J. (2010, November). Performance analysis of high performance computing applications on the amazon web services cloud. In Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on (pp. 159-168). IEEE.

[6]. Li, A., Yang, X., Kandula, S., & Zhang, M. (2010, November). CloudCmp: comparing public cloud th providers. In Proceedings of the 10 ACM SIGCOMM Conference on Internet Measurement (pp. 1-14). ACM.

[7]. Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5), 1125- 1142.

[8]. Linthicum, D. (2016). Responsive data architecture for the Internet of Things. Computer, 49(10), 72-75.

[9]. Raychaudhuri, D., Nagaraja, K., & Venkataramani, A. (2012). Mobilityfirst: a robust and trustworthy mobilitycentric architecture for the future internet. ACM SIGMOBILE Mobile Computing and Communications Review, 16(3), 2-13.

[10]. Reale, A. (2017). A guide to Edge IoT Analytics [Blog Post]. Retrieved from https://www.ibm.com/blogs/internetof- things/edge-iot-analytics/

[11]. Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637-646.

[12]. Stankovic, J. A. (2014). Research directions for the internet of things. IEEE Internet of Things Journal, 1(1), 3-9.

[13]. Wortmann, F., & Flüchter, K. (2015). Internet of Things. Business & Information Systems Engineering, 57(3), 221- 224.

[14]. Wu, J., & Zhao, W. (2017). Design and realization of WInternet: From net of things to internet of things. ACM Transactions on Cyber-Physical Systems, 1(1), 1-12.

[15]. Yu, W., Liang, F., He, X., Hatcher, W. G., Lu, C., Lin, J., & Yang, X. (2018). A survey on the edge computing for the Internet of Things. IEEE Access, 6, 6900-6919.

[16]. Yu, W., Xu, G., Chen, Z., & Moulema, P. (2013, October). A cloud computing based architecture for cyber security situation awareness. In Communications and Network Security (CNS), 2013 IEEE Conference on (pp. 488-492). IEEE.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Edge analytics on Internet of Things: A Survey

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: