Indian Journal of Computer Science

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Comparative Study of Data Analysis Methods in a Fog


Affiliations
1 P. G. Department of Computer Science and Technology, Degree College of Physical Education, Amravati, India
2 Professor, P. G. Department of Computer Science and Technology, Degree College of Physical Education, Amravati. Maharashtra, India

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Fog computing is distributed computing consisting of Cloud layer, Fog Layer, and IoT devices/ sensors. Fog computing extends cloud based services closer to end devices in order to provide quick response to real time IoT applications. IoT devices with different sensors generate a huge amount of data which are processed at Fog layer to find insight for business, to reduce workload at Cloud, to reduce use of network bandwidth, to respond in time effective manner or reduce latency and response location awareness. For analysing data effectively at insight for business, Fog layer is a need for intelligent computing systems like data mining and data analytics. In a Fog environment the data analytics can be performed at Fog layer or at Cloud Layer and Fog Layer. The Fog nodes in fog layer are limited in computing resources, so the data analytics must be distributed among the fog nodes to work in a distributed way. Machine learning based data analytics model with various Data analytic methods works better in such situations. In this paper we are comparing various data analytics methods used in Fog computing.

Keywords

Cloud, Data Analytics, Fog Computing

Manuscript Received : August 21, 2022 ; Revised : September 8, 2022 ; Accepted : September 10, 2022. Date of Publication : October 5, 2022.

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  • Comparative Study of Data Analysis Methods in a Fog

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Authors

S. N. Khandare
P. G. Department of Computer Science and Technology, Degree College of Physical Education, Amravati, India
S. P. Deshpande
Professor, P. G. Department of Computer Science and Technology, Degree College of Physical Education, Amravati. Maharashtra, India

Abstract


Fog computing is distributed computing consisting of Cloud layer, Fog Layer, and IoT devices/ sensors. Fog computing extends cloud based services closer to end devices in order to provide quick response to real time IoT applications. IoT devices with different sensors generate a huge amount of data which are processed at Fog layer to find insight for business, to reduce workload at Cloud, to reduce use of network bandwidth, to respond in time effective manner or reduce latency and response location awareness. For analysing data effectively at insight for business, Fog layer is a need for intelligent computing systems like data mining and data analytics. In a Fog environment the data analytics can be performed at Fog layer or at Cloud Layer and Fog Layer. The Fog nodes in fog layer are limited in computing resources, so the data analytics must be distributed among the fog nodes to work in a distributed way. Machine learning based data analytics model with various Data analytic methods works better in such situations. In this paper we are comparing various data analytics methods used in Fog computing.

Keywords


Cloud, Data Analytics, Fog Computing

Manuscript Received : August 21, 2022 ; Revised : September 8, 2022 ; Accepted : September 10, 2022. Date of Publication : October 5, 2022.


References





DOI: https://doi.org/10.17010/ijcs%2F2022%2Fv7%2Fi5%2F172580