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Machine learning Deep learning based Load Balancing Algorithms techniques in Cloud Computing

机译:基于机器学习和深度学习的云计算负载平衡算法技术

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Cloud computing is a fledgling technology that provides computers in terms of efficient resource efficiency. The advancement of new applications in the cloud brings on an increase in load on servers. In addition to the many studies conducted in the province of Cloud computing, it still has to face some provocations, such as load balancing(LB) that require further upgrades and models for better performance and to achieve maximum user satisfaction. In this paper, we have discussed about the Machine Learning Techniques used to build VM teams according to their CPU. Deep Learning (DL) techniques are used to achieve QoS which implies improving of resource utilization and deployment; while reducing delays, response time and costs, balancing the load on all equipment, therefore, increases system reliability. This paper contains a comprehensive overview of a few machine learning as well as deep learning based algorithm on load balancing.
机译:云计算是一种刚刚的技术,提供有效资源效率的计算机。云中的新应用程序的进步带来了服务器负载的增加。除了在云计算省中进行的许多研究外,它还必须面对一些挑衅,例如需要进一步升级和模型的负载平衡(LB),以实现更好的性能,并实现最大的用户满意度。在本文中,我们讨论了用于根据其CPU构建VM团队的机器学习技术。深度学习(DL)技术用于实现QoS,这意味着提高资源利用率和部署;虽然减少延迟,响应时间和成本,但平衡所有设备的负载,因此提高了系统可靠性。本文包含少数机器学习的全面概述以及基于深度学习的负载平衡算法。

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