摘要
针对当前5G核心网资源分配算法在应对海量服务差异化过程中资源利用率不高的问题,提出一种在满足负载均衡的前提下最大化系统利用率的核心网资源分配算法。通过建立服务功能链部署与资源分配联合优化目标,采用改进离散粒子群的方法实现服务功能链SFC部署,在保证用户服务质量和负载均衡的基础上实现系统资源利用率的最大化,最终实现增加服务用户数量,提升网络运营效率目标。仿真结果表明,该算法在满足服务功能链SFC的资源约束下,更加有效实现系统的负载均衡,提升系统的利用率。
Aiming at the problem that the current 5 G core network resource allocation algorithm has low resource utilization in the process of massive service differentiation,a core network resource allocation algorithm on the premise of load balancing is proposed to maximize the system utilization.By establishing the joint optimization goal of service function chain deployment and resource allocation,an improved discrete particle swarm optimization method is adopted to realize the service function chain(SFC)deployment,maximize the system resource utilization based on ensuring user service quality and load balancing,and finally achieve the goal of increasing the number of service users and improving network operation efficiency.Simulation results show that the proposed algorithm can realize the system load balancing effectively and improve the system utilization under the SFC resource constraints.
作者
姜洪超
JIANG Hongchao(China Mobile Group Hebei Co.,Ltd.,Shyiazhuang 050035,China)
出处
《移动通信》
2021年第6期103-107,共5页
Mobile Communications
关键词
虚拟化技术
资源配置
离散粒子群算法
负载均衡
virtualization technology
resource allocation
discrete particle swarm optimization
load balancing