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In this article, we would like to propose an algorithm to reduce response time on the cloud, by improving response time for users (userbase) and data centre processing times. For Response Time Classification, we use Naive Bayes Algorithm, and for Virtual Machines Clustering we use K-Means. This new algorithm is named as RCBA (Response Time Classification with Naive Bayes Algorithm). The aim is to improve the response time by modifying the LB on cloud (cloud computing), and the application on the cloud environment (cloud in real time) by the scheduling policy used is Time-Share for virtual machines and tasks. The objective is to use the Naive Bayes classifier scheduling algorithm combined with K-means clustering to improve the response time of the load balancing system in the cloud environment. |
IEEE/ICACT20220174 Slide.06
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