Load Balancing of Cloud Resources for Real-Time Tasks Management using Deep Learning

Cloud computing is an emerging technology that improves the efficiency of computers by sharing their resources. New cloud-based apps mean more work for existing servers. Although much research has been done in the field of Cloud computing, there are still challenges that must be overcome in order to improve performance and provide the greatest possible customer happiness. In this work, we cover the Machine Learning methods used for assembling VM squads with certain CPUs in mind. Quality of Service (QoS) is achieved through the application of DL methods, which entails the increased efficiency with which resources are used and deployed, the decrease in waiting time, response time, and costs that results from this, and the resulting improvement in system reliability due to the more even distribution of load across all equipment. For those interested in load balancing algorithms, this article provides a thorough discussion of many machine learning and deep learning-based methods.