Fog computing has emerged as an important technology which can improve the performance of computation-intensive and latency-critical communication networks.Nevertheless,the fog computing Internet-of-Things(IoT)systems...Fog computing has emerged as an important technology which can improve the performance of computation-intensive and latency-critical communication networks.Nevertheless,the fog computing Internet-of-Things(IoT)systems are susceptible to malicious eavesdropping attacks during the information transmission,and this issue has not been adequately addressed.In this paper,we propose a physical-layer secure fog computing IoT system model,which is able to improve the physical layer security of fog computing IoT networks against the malicious eavesdropping of multiple eavesdroppers.The secrecy rate of the proposed model is analyzed,and the quantum galaxy–based search algorithm(QGSA)is proposed to solve the hybrid task scheduling and resource management problem of the network.The computational complexity and convergence of the proposed algorithm are analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on fog computing IoT networks.Moreover,the simulation results demonstrate that the proposed hybrid task scheduling and resource management scheme can effectively enhance secrecy performance across different communication scenarios.展开更多
云计算为能够为用户提供基础作为服务(IaaS,Infrastructure as a Service)的计算能力,使得用户能够在使用高效、可靠、经济的计算资源的同时,不用增加额外的购置、维护资源的开销,这在很大程度上要依赖对虚拟资源的使用。因此如何有效...云计算为能够为用户提供基础作为服务(IaaS,Infrastructure as a Service)的计算能力,使得用户能够在使用高效、可靠、经济的计算资源的同时,不用增加额外的购置、维护资源的开销,这在很大程度上要依赖对虚拟资源的使用。因此如何有效地管理虚拟资源,使其使用率最大化并保证用户对资源使用的有效性,已成了眼下的攻关难题。针对这一问题,文章提出了一种面向虚拟资源的云计算资源管理机制,通过对虚拟资源的划分、预留及调度策略,为用户提供有效的IaaS服务。通过仿真实验结果表明,该方法能够提高虚拟资源的使用率及保证用户对资源使用的有效性。展开更多
基金supported by the National Natural Science Foundation of China(61571149,62001139)the Initiation Fund for Postdoctoral Research in Heilongjiang Province(LBH-Q19098)the Natural Science Foundation of Heilongjiang Province(LH2020F0178).
文摘Fog computing has emerged as an important technology which can improve the performance of computation-intensive and latency-critical communication networks.Nevertheless,the fog computing Internet-of-Things(IoT)systems are susceptible to malicious eavesdropping attacks during the information transmission,and this issue has not been adequately addressed.In this paper,we propose a physical-layer secure fog computing IoT system model,which is able to improve the physical layer security of fog computing IoT networks against the malicious eavesdropping of multiple eavesdroppers.The secrecy rate of the proposed model is analyzed,and the quantum galaxy–based search algorithm(QGSA)is proposed to solve the hybrid task scheduling and resource management problem of the network.The computational complexity and convergence of the proposed algorithm are analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on fog computing IoT networks.Moreover,the simulation results demonstrate that the proposed hybrid task scheduling and resource management scheme can effectively enhance secrecy performance across different communication scenarios.
文摘云计算为能够为用户提供基础作为服务(IaaS,Infrastructure as a Service)的计算能力,使得用户能够在使用高效、可靠、经济的计算资源的同时,不用增加额外的购置、维护资源的开销,这在很大程度上要依赖对虚拟资源的使用。因此如何有效地管理虚拟资源,使其使用率最大化并保证用户对资源使用的有效性,已成了眼下的攻关难题。针对这一问题,文章提出了一种面向虚拟资源的云计算资源管理机制,通过对虚拟资源的划分、预留及调度策略,为用户提供有效的IaaS服务。通过仿真实验结果表明,该方法能够提高虚拟资源的使用率及保证用户对资源使用的有效性。
