Research on Big Data Application Scheduling Method for Complex Scenarios
The Kubernetes default scheduling method fails to balance the importance of factors affecting the performance of a single big data service according to its characteristics when scheduling big data applications in complex scenarios,which seriously affects the performance of complex big data applications.This paper proposes a scheduling method of big data service container clus-ter based on hierarchy analysis.Based on the actual demand of specific big data services,this method gives the performance influ-encing factors of big data services.The hierarchical structure model of big data services is established,and the pairwise comparison matrix is constructed to calculate the weight sequence of the lowest level host relative to the highest level target.Finally,the contain-er cluster is scheduled to the host with the highest weight.In the scheduling experiment,the service scheduled by the scheduling method in this paper takes less time to upload data and has higher effect stability,which can effectively improve the processing effi-ciency of big data service on Kubernetes,and then improve the performance of complex big data application.
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