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

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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.

Kuldeep Sharma
» doi: 10.48047/ecb/2023.12.si7.170