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Distributed Processing System, 2021, 2(2); doi: 10.38007/DPS.2021.020203.

Campus Distributed System Platform Considering Support Vector Machine Algorithm

Author(s)

Malavolta Ivano

Corresponding Author:
Malavolta Ivano
Affiliation(s)

University of Antwerp, Belgium

Abstract

With the increase of enrollment scale, the traditional management model of the school has brought huge pressure, and various business processes are flooded with all aspects of education and teaching management. In order to solve these serious problems, the introduction of information technology and the use of network technology, Web technology, to standardize various business processes has become an imperative task. Distributed processing technology decouples and splits the business content in the original single software system. According to business requirements, these split subtasks are distributed to processing nodes with different business processing capabilities for processing, realizing the task processing. Efficiency, perfect for handling campus business. Therefore, this paper designs a distributed system(DS) for the business management of the campus, builds a network topology map through the campus network, and then classifies the campus data according to the characteristics of the support vector machine algorithm classification to achieve a unified and orderly information management. In this paper, the data collection efficiency of the DS is tested under different nodes, and the results show that with the multiplication of collection nodes, the average number of web pages per second is multiplied, and the total time consumption is multiplied.

Keywords

Distributed System, Support Vector Machine, Campus Business, Data Acquisition

Cite This Paper

Malavolta Ivano. Campus Distributed System Platform Considering Support Vector Machine Algorithm. Distributed Processing System (2021), Vol. 2, Issue 2: 18-25. https://doi.org/10.38007/DPS.2021.020203.

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