Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

The purpose is to establish Mass Customization (MC)-oriented Customer Demand Response (CDR) service platform based on Cloud Computing (CC) and the Internet of Things (IoT). Firstly, the MC-oriented Demand Response (DR) process and the characteristics of CC are analyzed. Secondly, an MC-oriented CDR service platform system based on CC and IoT is proposed. Finally, the edge-cloud collaborative computing method is used to maintain the efficiency and stability of the CC platform, and the proposed method is compared with other state-of-art algorithms to further prove its effectiveness. The results show that the parameters phi and V have a significant impact on the queue size and operation cost. Compared with other methods, the operation cost of the proposed edge-cloud collaborative computing method is relatively low. Thus, the proposed edge-cloud collaborative computing method is more applicable in high-speed and low-speed data; it can also improve the resource utilization of the Data Center (DC) and reduce the operation cost. The research results provide a basis for the establishment of the MC-oriented CDR service platform.

Automated summary

The purpose of this research is to establish a Mass Customization oriented Customer Demand Response service platform based on Cloud Computing and the Internet of Things. By utilizing the edge-cloud collaborative computing method, it can improve resource utilization and reduce operational costs effectively.