SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING

Uma Balaso Tarlekar; Prof. Sunita B. Vani

SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING

August 2020

Vol-6, Issue-4

Paper ID: 12555

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

IoT Latency Fog Computing REDPF Fault-tolerant Self -Adaptive RCA

Abstract

Now a days, the IoT system has been instrumental in reducing the load of resources. IoT has multiple devices interconnected to generate large amounts of data every second[9]. Cloud computing is used to handle such large data. The problem of low latency due to IoT is minimized by fog computing in which the data goes through the fog device to the first core nodes and sends the results to the client. These papers proposed the Ravens-based Sensor Data Processing Framework (REDPF)[1] to improve the reliability of data transmission, improve system resources and speed up the process. To achieve reliable data transmission, a fault tolerant mechanism is to be developed that will receive data from portable devices and then check the integrity of the received data. The collected data will then access the auto-optimization filter to ensure resource allocation. Finally the RCA (RVINS based computing and analysis)[1] will generate results according to predetermined rules and send them to the client for feedback.

License

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Author Information

#	Name	Institute / Affiliation
1	Uma Balaso Tarlekar	Ashokrao Mane Group Of Institutions, Vathar
2	Prof. Sunita B. Vani	Ashokrao Mane Group Of Institutions, Vathar

How to Cite

Use the following formats to cite this article in your research.

APA Style

Tarlekar, Uma Balaso & Vani, Prof. Sunita B. (2020). SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING. International Journal of Advance Research and Innovative Ideas In Education, 6(4), 1835-1839.

MLA Style

Tarlekar, Uma Balaso, and Prof. Sunita B. Vani. "SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 4, 2020, pp. 1835-1839.

IEEE Style

Uma Balaso Tarlekar and Prof. Sunita B. Vani, "SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 4, pp. 1835-1839, 2020.

Vancouver Style

Tarlekar Uma Balaso, Vani Prof. Sunita B.. SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(4):1835-1839.

Harvard Style

Tarlekar, Uma Balaso & Vani, Prof. Sunita B. (2020) 'SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING', International Journal of Advance Research and Innovative Ideas In Education, 6(4), pp. 1835-1839.

Chicago Style

Tarlekar, Uma Balaso and Prof. Sunita B. Vani. "SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING." International Journal of Advance Research and Innovative Ideas In Education 6, no. 4 (2020): 1835-1839.

Turabian Style

Tarlekar, Uma Balaso and Prof. Sunita B. Vani. "SELF-ADAPTIVE AND FAULT TOLERANT DATA PROCESSING IN IOT BASED ON FOG COMPUTING." International Journal of Advance Research and Innovative Ideas In Education 6, no. 4 (2020): 1835-1839.