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Home > Archives > Volume 20, No 11 (2022) > Article

DOI: 10.14704/nq.2022.20.11.NQ66161

FOG-BASED DATA ANALYTICS SCHEME USING EDGE AFFINITY-BASED MANAGEMENT

Dr. M. Prasad, Dr. Raja Rao PBV, Dr. P. Kiran Sree, Mr. P. T Satyanarayana Murty, Mr. Chintha Venkata Ramana

Abstract

Internet of Things (IoT) applications in remote cloud data centers by expanding computing services nearer to data sources. Because the Fog nodes are limited in resources, the arrangement of each IoT approach in fog environments can be difficult. Anyhow, by the fast development in the count of Internet-linked systems, the growing challenges for real-time, low-latency assistance have challenged the traditional cloud computing framework. Anyhow Fog computing (Fc) has emerged as a better result by offering elastic resources and services to consumers on the edge of the network. The main function of the fog is to assign the data generated by IoT devices close to edge. The processing of data and data storage on the Fog node takes place locally without moving the information to the cloud server; in that case the Fog-based Data Analytics Scheme disperses application management works around the gateway and basic framework level using Edge Affinity Based Management. It divides and places applications as per their Edge appendix. The application's edge affinity refers to the relative severity of various features that are compatible with its features, like user-defined limit, the total information to the input, the sensing frequency of Internet of Things devices, which explained in accordance with its Fog environments to come across with its Quality of Service (QoS).

Keywords

Internet of Things (IoT), Fog Computing (Fc), Edge affinity Based Management, gateway, Quality of Service (QoS).

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