Research on the Construction of a Big Data Analysis and Monitoring Platform Based on the Loongson Ecosystem

In recent years, the hardware technology of Loongson has undergone rapid development, yet its independent software ecosystem remains notably insufficient, which is crucial for the innovative development of the information industry. The vast scale of the software ecosystem, its intricate dependency chains, and the diverse and complex application scenarios have made compatibility issues arising from the construction of the Loongson software ecosystem increasingly prominent. In the era of “AI+”, big data has been widely applied in various industries such as intelligent decision-making and personalized services. However, the construction of a big data software ecosystem based on Loongson hardware is still lacking. This paper proposes the construction of an open-source Hadoop-based big data analytics and monitoring platform atop the Loongson software and hardware ecosystem. It aims to address issues such as the construction of open-source big data platforms, the collection of platform service data, and the visual monitoring of platform services within the Loongson big data software ecosystem. Aligning with the macro background of the localization of the big data industry, this initiative effectively promotes the application of software within the ecosystem of the domestic Loongson architecture in the field of big data and facilitates the compatible development of the Loongson software and hardware ecosystem.