Virtual Edge Computing Architecture Model for the Real-Time Data Server in the IoT Environment

Authors

  • Kuldeep Sharma Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Jalandhar, Punjab, India
  • Arun Malik Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Jalandhar, Punjab, India

Keywords:

Virtual server, Edge computing, MQTT, Internet of Things (IoT), Quality of Sevices

Abstract

Recently, a number of smart devices are connected through the Internet to achieve data processing and generation. The data generated from the cloud server demand robust and reliable data storage and protection for unauthorized data access. Additionally, the processed data demands for avast range of processing power to tangible effective information for processing. The different business process comprises of technologies to increase efficiency and performance with the reduced cost of operation in the IoT devices. The data processing leads to the data handledwith the edge computing technology. The technological procession deal with the response time improved cost-saving bandwidth and battery life those significantly impacts on safety and privacy in the organization. This paper presented a Virtual Environment Based HTTP server model termed as (VEnvMQTT) for effective data processing in the edge computing architecture of the IoT environment. The proposed VEnvMQTT model comprises of the actuators and IoT server data. The proposed VEnvMQTT model evaluates the data collected from the sensor at an effective level of processing time with edge computing technology. The analysis of the simulation results expressed thatthe proposed VEnvMQTTmodel achieves a reduced latency of 24.566ms which is ~20% minimal to the existing MQTT model.

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Fog Computing Model

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Published

19.12.2022

How to Cite

Sharma , K. ., & Malik, A. . (2022). Virtual Edge Computing Architecture Model for the Real-Time Data Server in the IoT Environment. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 205–211. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2385

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

License

Copyright (c) 2022 Kuldeep Sharma , Arun Malik

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