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Erschienen in:
03.09.2018
Research on web server cluster load balancing algorithm in web education system
Erschienen in: The Journal of Supercomputing | Ausgabe 5/2020
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Abstract
The load balancing algorithm of web server cluster in network education system is studied in this paper, and a new strategy based on server status and request information is proposed to reduce the response time. The mechanism of the algorithm is to classify the degree of influence of the client’s request content on the server, and set the corresponding weight. At the same time, it combines the server performance parameters and load conditions to allocate the request to the lightest load of the server. The overall framework structure of the hierarchy is proposed according to the MOOC education system, and the internal communication mechanism of the system and the monitoring program of the web server performance are studied in this paper. Experimental results show that the algorithm can fully utilize the existing software and hardware resources, effectively balance the load of the web cluster server, and fully utilize the service resources.