Big Data Analysis of News Toolization Evolution Based on Computer Network Security Algorithms

Abstract

In order to explore the inevitability of the evolution of the instrumentalization of data news, this paper combines the big data technology to study the inevitability of the evolution of the instrumentalization of news in the intelligent information age. Based on the MPTCP aggregate throughput model, this paper proposes an MPTCP throughput-aware traffic allocation and data scheduling algorithm (MPTCP-GA). Among them, the traffic allocation algorithm maximizes the MPTCP aggregate throughput through reasonable traffic allocation, and the data scheduling algorithm performs reasonable data distribution according to the results of traffic allocation. Moreover, this paper compares the proposed MPTCP-GA algorithm with CMT-QA and MPTCP round-robin scheduling algorithm through NS3 network simulator. The experimental research shows that the news big data system proposed in this paper can effectively improve the news data processing effect, which also verifies that big data tools have certain performance in news applications, and the evolution of data news tools is inevitable.