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作 者:杜双燕 DU Shuangyan(Guangdong Telecom Planning&Design Institute Co.,Ltd.,Guangzhou 510630,China)
机构地区:[1]广东省电信规划设计院有限公司,广东广州510630
出 处:《长江信息通信》2024年第12期229-231,共3页Changjiang Information & Communications
摘 要:网络虚拟化技术是未来网络发展的重要趋势,研究人员通过SDN、NFV等技术将网络资源进行虚拟化隔离,可实现网络功能和资源的按需灵活配置,极大提高了资源利用效率。但在实现网络虚拟化的同时,也给网络资源的统一调度和管理带来了新的挑战。文章首先综述了SDN、NFV等虚拟化技术,在此基础上,提出了一系列创新的调度优化策略,包括基于启发式算法、机器学习等不同思路的单层优化方案,以及考虑不同资源类型协同优化的多层次方案。文章的相关研究为SDN/NFV网络虚拟化资源调度提供了高效优化方案,也为后续相关理论与应用研究奠定了基础。Network virtualization technology is an important trend for future network development.Researchers can realize flexible on-demand configuration of network functions and resources by virtualizing and isolating network resources through technologies such as SDN and NFV,greatly improving resource utilization efficiency.However,while realizing network virtualization,it also brings new challenges to the unified scheduling and management of network resources.This paper first summarizes virtualization technologies such as SDN and NFV,and on this basis,proposes a series of innovative scheduling optimization strategies,including single-layer optimization schemes based on different approaches such as heuristic algorithms and machine learning,as well as multi-layer schemes considering collaborative optimization of different resource types.The relevant research in this paper provides efficient optimization solutions for SDN/NFV network virtualization resource scheduling and lays a foundation for subsequent related theoretical and applied research.
分 类 号:TN929.5[电子电信—通信与信息系统]
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