Quantitative Analysis of the Impact of Cloud Computing Service Models on the Employment Structure of College Graduates
Tao Ma · Ingénierie des systèmes d information · 2024
With the rapid development of cloud computing technology, its application in the education industry has become increasingly widespread, particularly in terms of its impact on the employment structure of college graduates.Cloud computing has not only transformed the structure of employment fields but also redefined the skill sets required for these jobs.In light of this, this study aims to explore in depth the effects of cloud computing service models on the employment structure of college graduates and proposes effective predictive analysis methods.Utilizing the Spark-Improved Random Forest (IRF) algorithm, this research addresses the challenges of efficiency and accuracy in employment structure prediction within a big data environment and provides a detailed analysis of the evolving trends in employment structure based on cloud computing service models.Moreover, while existing studies lack in data processing capabilities and depth of analysis, the methods and analyses presented in this study offer new perspectives for addressing these issues and provide a scientific basis for career guidance for college graduates.