Research on Private Cloud Storage Method of Marketing Information Based on Grid Technology

Abstract

Enterprise marketing information is stored in the form of message files or databases, which is increasing exponentially. Under the conditions of information failure, the backup is not timely, resulting in a decrease in storage efficiency. Therefore, research on the private cloud storage method of marketing information is performed based on grid technology. Moreover, grid basic services are provided through grid system management nodes and grid public service nodes, and local resource servers and enterprise grid application services are used to provide grid application services. Based on each server node in the model, the virtual machine usage is adjusted through the load forecasting process, and the mirroring backup process is applied to restore the virtual machine data under fault conditions. In addition, the model uses the longest path matching method to manage marketing information metadata based on metadata logical search and location metadata sub-table. Experimental results show that the load of different virtual machines in the marketing information storage process is less than 40%, and the load of each virtual machine is basically the same, indicating that the method proposed in the paper can enhance the balance of blocking in the information storage process and improve storage efficiency.