An Intent-Driven Closed-Loop Platform for 5G Network Service Orchestration
作者机构：Department of Computer EngineeringJeju National UniversityJejuKorea
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2022年第70卷第3期
页 面：4323-4340页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：IBN ML 5G NFV XOS OSM SDN ONOS OpenStack
摘 要：The scope of the 5G network is not only limited to the enhancements in the form of the quality of service(QoS),but it also includes a wide range of services with various *** this,many approaches and platforms are under the umbrella of 5G to achieve the goals of endto-end service ***,the management of multiple services over heterogeneous platforms is a complex *** platform and service have various requirements to be handled by domain ***,if the next-generation network management is dependent on manual updates,it will become impossible to provide seamless service provisioning in *** the traffic for a particular type of service varies significantly over time,automatic provisioning of resources and orchestration in runtime need to be ***,with the increase in the number of devices,amount,and variety of traffic,the management of resources with optimization becomes a challenging *** this end,this manuscript provides a solution that automates the management and service provisioning through multiple platforms while assuring various aspects,including automation,resource management and service *** solution consists of an intent-based system that automaticallymanages different orchestrators,and eliminates manual control by abstracting the complex configuration requirements into simple and generic *** proposed systemconsiders handling the scalability of resources in runtime by usingMachine Learning(ML)to automate and optimize service resource utilization.
维普期刊数据库
