Design of a Cloud Computing Based Employment Platform for College Students

Abstract

Currently, the employment situation is becoming increasingly severe, which involves the stability and development of the national economy. Therefore, universities should strengthen the information exchange between talent demand and talent supply, improve the level of employment guidance services, fully play its employment guidance function, and establish an exchange platform between students, enterprises, and employers in our school. At present, the construction of employment service platforms in universities is still incomplete, with some shortcomings that cannot meet the diverse needs of society for graduates. In order to meet the employment needs of college graduates, this article combines the Internet and human resources to build a cloud computing employment service database and a university employment service information exchange platform. In traditional employment service platforms, due to the lack of corresponding information technology equipment and software provided by schools, students are unable to timely obtain relevant employment information and enterprise recruitment situation, seriously affecting the quality of students' employment. Therefore, this paper have developed a college student employment platform based on Hadoop cloud computing platform, which realizes the collection, processing and storage of graduate employment information and enterprise recruitment information data, and carries out client communication through the Strust2 framework. After testing the employment platform for college students, we found that the system has excellent response speed. After using the system, the student signing rate and employment rate are as high as 99% and 100%, which fully proves that the employment system can provide excellent services for enterprises and students, thereby effectively improving employment rates. At the same time, it has also been verified that the algorithm proposed in this study is feasible and can effectively reduce human resource costs.