首先概述了普适计算、云计算、泛在网技术;之后提出智能普适网络(IUN,intelligent ubiquitous network)概念架构,以及其具体实现的分布式智能开放系统(DIOS,distributed intelligent open system)和业务数据系统(BDS,business data syst...首先概述了普适计算、云计算、泛在网技术;之后提出智能普适网络(IUN,intelligent ubiquitous network)概念架构,以及其具体实现的分布式智能开放系统(DIOS,distributed intelligent open system)和业务数据系统(BDS,business data system)。最后,重点讨论了系统组网拓扑、架构和关键技术。智能普适网络是电信网络的发展趋势,可提供"无处不在、无所不能"的服务。展开更多
The paper proposes a model which helps to investigate the competitive aspect of real networks in quantitative terms. Through theoretical analysis and numerical simulations, it shows that the competitive model has the ...The paper proposes a model which helps to investigate the competitive aspect of real networks in quantitative terms. Through theoretical analysis and numerical simulations, it shows that the competitive model has the universality for a weighted network. The relation between parameters in the weighted network and the competitiveness in the competitive network is obtained by theoretical analysis. Based on the expression of the degree distribution of the competitive network, the strength and degree distributions of the weighted network can be calculated. The analytical solution reveals that the degree distribution of the weighted network is correlated with the increment and initial value of edge weights, which is verified by numerical simulations. Moreover, the evolving pattern of a clustering coefficient along with network parameters such as the size of a network, an updating coefficient, an initial weight and the competitiveness are obtained by further simulations.展开更多
文摘首先概述了普适计算、云计算、泛在网技术;之后提出智能普适网络(IUN,intelligent ubiquitous network)概念架构,以及其具体实现的分布式智能开放系统(DIOS,distributed intelligent open system)和业务数据系统(BDS,business data system)。最后,重点讨论了系统组网拓扑、架构和关键技术。智能普适网络是电信网络的发展趋势,可提供"无处不在、无所不能"的服务。
基金supported by the National Natural Science Foundation of China under Grant No.70871082the Hujiang Foundation of China under Grant No.A14006the Shanghai First-Class Academic Discipline Project under Grant No.S1201YLXK
文摘The paper proposes a model which helps to investigate the competitive aspect of real networks in quantitative terms. Through theoretical analysis and numerical simulations, it shows that the competitive model has the universality for a weighted network. The relation between parameters in the weighted network and the competitiveness in the competitive network is obtained by theoretical analysis. Based on the expression of the degree distribution of the competitive network, the strength and degree distributions of the weighted network can be calculated. The analytical solution reveals that the degree distribution of the weighted network is correlated with the increment and initial value of edge weights, which is verified by numerical simulations. Moreover, the evolving pattern of a clustering coefficient along with network parameters such as the size of a network, an updating coefficient, an initial weight and the competitiveness are obtained by further simulations.
