{"title":"一种改进的超密集云网络中移动节点容量优化框架","authors":"Kaligotla Ravi Kumar, C. Sivakumar","doi":"10.1109/ICESC57686.2023.10193384","DOIUrl":null,"url":null,"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.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Improved Capacity Optimization Framework for Mobile Nodes in Ultra Dense Cloud Networks\",\"authors\":\"Kaligotla Ravi Kumar, C. Sivakumar\",\"doi\":\"10.1109/ICESC57686.2023.10193384\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":235381,\"journal\":{\"name\":\"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESC57686.2023.10193384\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESC57686.2023.10193384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Capacity Optimization Framework for Mobile Nodes in Ultra Dense Cloud Networks
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.