With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Further...With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Furthermore,given the open environment and a multitude of devices,enhancing the security of ICPS is an urgent concern.To address these issues,this paper proposes a novel trusted virtual network embedding(T-VNE)approach for ICPS based combining blockchain and edge computing technologies.Additionally,the proposed algorithm leverages a deep reinforcement learning(DRL)model to optimize decision-making processes.It employs the policygradient-based agent to compute candidate embedding nodes and utilizes a breadth-first search(BFS)algorithm to determine the optimal embedding paths.Finally,through simulation experiments,the efficacy of the proposed method was validated,demonstrating outstanding performance in terms of security,revenue generation,and virtual network request(VNR)acceptance rate.展开更多
数字经济已成为21世纪全球经济增长的重要驱动力,以数字化、自动化为主要特征的新一代科技和产业变革正加速进行。电信运营商作为通信基础设施建设的引领者、社会全行业转型的赋能者,也在积极参与这一变革。同时随着电信网络技术演进,...数字经济已成为21世纪全球经济增长的重要驱动力,以数字化、自动化为主要特征的新一代科技和产业变革正加速进行。电信运营商作为通信基础设施建设的引领者、社会全行业转型的赋能者,也在积极参与这一变革。同时随着电信网络技术演进,网络功能虚拟化(Network Function Virtualization,NFV)成为目前电信网络建设趋势。运营商通过NFV技术,实现通用硬件资源共享和软件解耦,降低了投资,增强了业务扩展性及响应能力,但NFV的引入也带来了多厂商规模集成难度大、效率低,质量难保障的问题的弊端。目前业界是通过在虚拟化集成过程中用工具实现NFV集成过程自动化,提升集成效率和质量,来解决这些问题。但在这一过程中,如何有效地引入数字化手段,与集成的自动化能力进行融合,从而实现集成服务的数字化转型,已成为行业必须思考和解决的问题。展开更多
使用分布式哈希表(distributed hash table,简称DHT)的应用系统必须在O(1)发现算法和O(logN)发现算法系列中选择适应的DHT协议.但是,不同网络波动程度的应用场景要求理想的DHT协议根据网络波动率能够自适应地调整.提出一种发现算法ROAD(...使用分布式哈希表(distributed hash table,简称DHT)的应用系统必须在O(1)发现算法和O(logN)发现算法系列中选择适应的DHT协议.但是,不同网络波动程度的应用场景要求理想的DHT协议根据网络波动率能够自适应地调整.提出一种发现算法ROAD(routing on active and demand),在延时和波动率之间自适应地调整以提供更好的性能.设计ROAD的关键挑战是构建路由表和降低延时的算法.通过构建加速路由表,加快发现服务的速度,降低消息转发的延时,并通过幂次序组播算法改善对超级点的依赖性.模拟实验显示,与现有DHT算法相比,ROAD维护了一种高效发现延时与波动率的折衷.选择不同质量类型的超级点,ROAD可以扩展成满足不同服务需要的发现机制.展开更多
基金supported by the National Natural Science Foundation of China under Grant 62471493supported by the Natural Science Foundation of Shandong Province under Grant ZR2023LZH017,ZR2024MF066。
文摘With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Furthermore,given the open environment and a multitude of devices,enhancing the security of ICPS is an urgent concern.To address these issues,this paper proposes a novel trusted virtual network embedding(T-VNE)approach for ICPS based combining blockchain and edge computing technologies.Additionally,the proposed algorithm leverages a deep reinforcement learning(DRL)model to optimize decision-making processes.It employs the policygradient-based agent to compute candidate embedding nodes and utilizes a breadth-first search(BFS)algorithm to determine the optimal embedding paths.Finally,through simulation experiments,the efficacy of the proposed method was validated,demonstrating outstanding performance in terms of security,revenue generation,and virtual network request(VNR)acceptance rate.
文摘数字经济已成为21世纪全球经济增长的重要驱动力,以数字化、自动化为主要特征的新一代科技和产业变革正加速进行。电信运营商作为通信基础设施建设的引领者、社会全行业转型的赋能者,也在积极参与这一变革。同时随着电信网络技术演进,网络功能虚拟化(Network Function Virtualization,NFV)成为目前电信网络建设趋势。运营商通过NFV技术,实现通用硬件资源共享和软件解耦,降低了投资,增强了业务扩展性及响应能力,但NFV的引入也带来了多厂商规模集成难度大、效率低,质量难保障的问题的弊端。目前业界是通过在虚拟化集成过程中用工具实现NFV集成过程自动化,提升集成效率和质量,来解决这些问题。但在这一过程中,如何有效地引入数字化手段,与集成的自动化能力进行融合,从而实现集成服务的数字化转型,已成为行业必须思考和解决的问题。
基金Supported by the National Natural Science Foundation of China under Grant Nos.60433040 60603070 (国家自然科学基金)the China Postdoctoral Science Foundation under Grant No.2005038064 (中国博士后基金)
文摘使用分布式哈希表(distributed hash table,简称DHT)的应用系统必须在O(1)发现算法和O(logN)发现算法系列中选择适应的DHT协议.但是,不同网络波动程度的应用场景要求理想的DHT协议根据网络波动率能够自适应地调整.提出一种发现算法ROAD(routing on active and demand),在延时和波动率之间自适应地调整以提供更好的性能.设计ROAD的关键挑战是构建路由表和降低延时的算法.通过构建加速路由表,加快发现服务的速度,降低消息转发的延时,并通过幂次序组播算法改善对超级点的依赖性.模拟实验显示,与现有DHT算法相比,ROAD维护了一种高效发现延时与波动率的折衷.选择不同质量类型的超级点,ROAD可以扩展成满足不同服务需要的发现机制.
