An Improved Capacity Optimization Framework for Mobile Nodes in Ultra Dense Cloud Networks

Kaligotla Ravi Kumar, C. Sivakumar
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Abstract

the capacity optimization framework for mobile nodes in ultra dense cloud networks is a process that aims to optimize the capacity of devices deployed in areas with a high concentration of cloud resources. The objective is to maximize the total throughput and connection quality of the mobile node connections. To achieve this, a thorough analysis of the current configuration and usage patterns of the mobile nodes must be undertaken. This involves a comprehensive review of the physical, application, and network layer parameters. From there, capacity optimization techniques such as load balancing, system optimization, and bandwidth estimation can be applied. These techniques foster the efficient use of available resources, reduce latency, and address shortcomings of current approaches to mobile node throughput. Optimizing the mobile node capacity in ultra dense clouds will result in improved user experience, better access quality, and higher industry adoption of cloud technologies.
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一种改进的超密集云网络中移动节点容量优化框架
超密集云网络中移动节点容量优化框架是针对部署在云资源高度集中地区的设备进行容量优化的过程。目标是最大限度地提高移动节点连接的总吞吐量和连接质量。为此,必须对移动节点的当前配置和使用模式进行彻底分析。这包括对物理层、应用层和网络层参数的全面回顾。在此基础上,可以应用容量优化技术,如负载平衡、系统优化和带宽估计。这些技术促进了可用资源的有效利用,减少了延迟,并解决了当前移动节点吞吐量方法的缺点。在超密集云中优化移动节点容量,将会改善用户体验,提高接入质量,提高云技术的行业采用率。
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