Network congestion, one of the challenging tasks in communication networks, leads to queuing delays, packet loss, or the blocking of new connections. In this study, a data portal is considered as an application-based ...Network congestion, one of the challenging tasks in communication networks, leads to queuing delays, packet loss, or the blocking of new connections. In this study, a data portal is considered as an application-based network, and a cognitive method is proposed to deal with congestion in this kind of network. Unlike previous methods for congestion control, the proposed method is an effective approach for congestion control when the link capacity and information inquiries are unknown or variable. Using sufficient training samples and the current value of the network parameters, available bandwidth is adjusted to distribute the bandwidth among the active flows. The proposed cognitive method was tested under such situations as unexpected variations in link capacity and oscillatory behavior of the bandwidth. Based on simulation results, the proposed method is capable of adjusting the available bandwidth by tuning the queue length, and provides a stable queue in the network.展开更多
In order to fulfill the requirements of mobile computing and big data environments, we design a mobile campus portal (MCP) providing mobile information services for users in both browser/ server and client/server mode...In order to fulfill the requirements of mobile computing and big data environments, we design a mobile campus portal (MCP) providing mobile information services for users in both browser/ server and client/server modes. We present the topological structure of MCP, system infra- structure, application architecture and the data management (such as data integration, data format translation, data security control and so on) of our mobile campus portal in this paper. After online running in the past two years, our MCP has received good feedbacks from mobile users. In the future, we will focus on the research of data-mining technologies in our big data environment.展开更多
文摘Network congestion, one of the challenging tasks in communication networks, leads to queuing delays, packet loss, or the blocking of new connections. In this study, a data portal is considered as an application-based network, and a cognitive method is proposed to deal with congestion in this kind of network. Unlike previous methods for congestion control, the proposed method is an effective approach for congestion control when the link capacity and information inquiries are unknown or variable. Using sufficient training samples and the current value of the network parameters, available bandwidth is adjusted to distribute the bandwidth among the active flows. The proposed cognitive method was tested under such situations as unexpected variations in link capacity and oscillatory behavior of the bandwidth. Based on simulation results, the proposed method is capable of adjusting the available bandwidth by tuning the queue length, and provides a stable queue in the network.
文摘In order to fulfill the requirements of mobile computing and big data environments, we design a mobile campus portal (MCP) providing mobile information services for users in both browser/ server and client/server modes. We present the topological structure of MCP, system infra- structure, application architecture and the data management (such as data integration, data format translation, data security control and so on) of our mobile campus portal in this paper. After online running in the past two years, our MCP has received good feedbacks from mobile users. In the future, we will focus on the research of data-mining technologies in our big data environment.
