ZTE Corporation, a leading global provider of telecommunications equipment and network solutions, announced on November 23, 2010 that it has successfully completed the world＇s first large-scale commercial GPON-based ...ZTE Corporation, a leading global provider of telecommunications equipment and network solutions, announced on November 23, 2010 that it has successfully completed the world＇s first large-scale commercial GPON-based mobile backhaul network for TELKOM Indonesia, a full-service telecom operator in Indonesia. The project is the first such large-scale commercialization of GPON backhaul technology,展开更多
This study uses methods,such as a nearest proximity index,nuclear density,spatial interpolation,buffering zone,and overlay analysis,based on an exploratory spatial data analysis tool.It focuses on a large commercial f...This study uses methods,such as a nearest proximity index,nuclear density,spatial interpolation,buffering zone,and overlay analysis,based on an exploratory spatial data analysis tool.It focuses on a large commercial facility in which a mathematical analysis is conducted on its spatial patterns.In the study,45 large-scale retail commercial facilities(LSRCFs)in the Gulou District,Nanjing,China,were chosen,and the spatial concentration,density,and structure of the LSRCFs in this area were analyzed.Three additional factors,namely,population,transportation,and consumption,were examined to determine their impact on the spatial patterns of the LSRCFs.Finally,this study recommends a spatial layout for the future of the Gulou District according to the analysis results.展开更多
Service computing is an emerging and distributed computing mode in cloud service systems, and has become an interesting research direction for both academia and industry. Note that the cloud service systems always dis...Service computing is an emerging and distributed computing mode in cloud service systems, and has become an interesting research direction for both academia and industry. Note that the cloud service systems always display new characteristics, such as stochasticity, large scale, loose coupling, concurrency non-homogeneity and heterogeneity;thus their load balancing investigation has been more interesting, difficult and challenging until now. By using resource management and job scheduling, this paper proposes an integrated, real-time and dynamic control mechanism for large-scale cloud service systems and their load balancing through combining supermarket models with not only work stealing models but also scheduling of public reserved resource. To this end, this paper provides a novel stochastic model with weak interactions by means of nonlinear Markov processes. To overcome theoretical difficulties growing out of the state explosion in high-dimensional stochastic systems, this paper applies the mean-field theory to develop a macro computational technique in terms of an infinite-dimensional system of mean-field equations. Furthermore, this paper proves the asymptotic independence of the large-scale cloud service system, and show how to compute the fixed point by virtue of an infinite-dimensional system of nonlinear equations. Based on the fixed point, this paper provides effective numerical computation for performance analysis of this system under a high approximate precision. Therefore, we hope that the methodology and results given in this paper can be applicable to the study of more general large-scale cloud service systems.展开更多
文摘ZTE Corporation, a leading global provider of telecommunications equipment and network solutions, announced on November 23, 2010 that it has successfully completed the world＇s first large-scale commercial GPON-based mobile backhaul network for TELKOM Indonesia, a full-service telecom operator in Indonesia. The project is the first such large-scale commercialization of GPON backhaul technology,
文摘This study uses methods,such as a nearest proximity index,nuclear density,spatial interpolation,buffering zone,and overlay analysis,based on an exploratory spatial data analysis tool.It focuses on a large commercial facility in which a mathematical analysis is conducted on its spatial patterns.In the study,45 large-scale retail commercial facilities(LSRCFs)in the Gulou District,Nanjing,China,were chosen,and the spatial concentration,density,and structure of the LSRCFs in this area were analyzed.Three additional factors,namely,population,transportation,and consumption,were examined to determine their impact on the spatial patterns of the LSRCFs.Finally,this study recommends a spatial layout for the future of the Gulou District according to the analysis results.
文摘Service computing is an emerging and distributed computing mode in cloud service systems, and has become an interesting research direction for both academia and industry. Note that the cloud service systems always display new characteristics, such as stochasticity, large scale, loose coupling, concurrency non-homogeneity and heterogeneity;thus their load balancing investigation has been more interesting, difficult and challenging until now. By using resource management and job scheduling, this paper proposes an integrated, real-time and dynamic control mechanism for large-scale cloud service systems and their load balancing through combining supermarket models with not only work stealing models but also scheduling of public reserved resource. To this end, this paper provides a novel stochastic model with weak interactions by means of nonlinear Markov processes. To overcome theoretical difficulties growing out of the state explosion in high-dimensional stochastic systems, this paper applies the mean-field theory to develop a macro computational technique in terms of an infinite-dimensional system of mean-field equations. Furthermore, this paper proves the asymptotic independence of the large-scale cloud service system, and show how to compute the fixed point by virtue of an infinite-dimensional system of nonlinear equations. Based on the fixed point, this paper provides effective numerical computation for performance analysis of this system under a high approximate precision. Therefore, we hope that the methodology and results given in this paper can be applicable to the study of more general large-scale cloud service systems.
