Optimizing IoT Based Parallel Server in a Low Power Operational Environment

Despite, the fact, Internet of Things (IoT) has indeed proven an effective technology in transportation, agriculture, healthcare, industrial automation, and emergency response to natural and man-made disasters, IoT inherits limitations from power of the devices in the IoT infrastructure. Such limitations, demands the need to have optimization research. The aim of this study is to develop a parallel server architecture in an IoT-based service in a low-power environment. The need for parallel computing is necessary for IoT-enabled devices and system architecture. The server-oriented IoT-based cloud architecture study needs immense capability and efficiency to produce satisfactory throughput. Although the efficiency is relatively acquired by the services, the demand for security is also a matter of concern in the modern platform of IoT-supported services. The concurrent process of the encryption system, data processing and computation in the service transactions, and effective, reliable management of the servers working simultaneously in an energy-efficient network service architecture is the aimed product of this study. The focus is to provide the data and task level parallelism to ensure lesser transaction delay in the system.