Distributed Cloud Multimedia Storage Technology in the Construction of Economic Intelligent

In the context of economic intelligence construction, enterprises are facing the dual challenges of fierce market competition and efficient management. To address these challenges, it is particularly important to build an economic intelligent decision-making platform. With the diversification of information forms and the explosive growth of data volume, the management and storage of multimedia data have become an urgent problem to be solved. This article delves into the application of distributed cloud multimedia storage technology in this field and builds an economically intelligent decision-making platform based on this technology. By combining relevant operational and management data, the platform can provide powerful data support for decision-making, realizing functions such as data query, operation, knowledge discovery, and result generation. The research results show that with the increase in storage memory, the storage rate and energy consumption of cloud multimedia systems show a downward trend, while the average queue length gradually increases. In addition, we also found that the transmission rate and energy consumption first decrease and then stabilize during the process of increasing memory, while the average queue length continues to increase. These results provide important references for optimizing distributed cloud multimedia storage technology.