With the dramatic growth of the network scale and users, Internet is becoming a global information infrastructure. Driven by both new inventions in communications technologies and new applications, the architecture of...With the dramatic growth of the network scale and users, Internet is becoming a global information infrastructure. Driven by both new inventions in communications technologies and new applications, the architecture of Internet has evolved from the goals of openness and integration to those of high-performance, scalability and manageability. The paper first reviews the challenges faced in Internet and the existing solutions, and points out that the main reasons resulted in the bottleneck of core routers and the difficulties of QoS and performance guarantee rooted in the unstructured topologtes and flat addresses structure of the Internet. The paper introduces the ideas of well-structured hierarchies into the topologies and address space of Internet, which takes advantages of the properties to construct the high-performance and scalable architecture for future Internet. In the end, we propose a model of switched hierarchical network which includes the extended topologies, critical protocols and control algorithms, and prove the correctness and feasibility of the model by network simulation experiments.展开更多
The rapid development of network technology and its evolution toward heterogeneous networks has increased the demand to support automatic monitoring and the management of heterogeneous wireless communication networks....The rapid development of network technology and its evolution toward heterogeneous networks has increased the demand to support automatic monitoring and the management of heterogeneous wireless communication networks.This paper presents a multilevel pattern mining architecture to support automatic network management by discovering interesting patterns from telecom network monitoring data.This architecture leverages and combines existing frequent itemset discovery over data streams,association rule deduction,frequent sequential pattern mining,and frequent temporal pattern mining techniques while also making use of distributed processing platforms to achieve high-volume throughput.展开更多
文摘With the dramatic growth of the network scale and users, Internet is becoming a global information infrastructure. Driven by both new inventions in communications technologies and new applications, the architecture of Internet has evolved from the goals of openness and integration to those of high-performance, scalability and manageability. The paper first reviews the challenges faced in Internet and the existing solutions, and points out that the main reasons resulted in the bottleneck of core routers and the difficulties of QoS and performance guarantee rooted in the unstructured topologtes and flat addresses structure of the Internet. The paper introduces the ideas of well-structured hierarchies into the topologies and address space of Internet, which takes advantages of the properties to construct the high-performance and scalable architecture for future Internet. In the end, we propose a model of switched hierarchical network which includes the extended topologies, critical protocols and control algorithms, and prove the correctness and feasibility of the model by network simulation experiments.
基金funded by the Enterprise Ireland Innovation Partnership Programme with Ericsson under grant agreement IP/2011/0135[6]supported by the National Natural Science Foundation of China(No.61373131,61303039,61232016,61501247)+1 种基金the PAPDCICAEET funds
文摘The rapid development of network technology and its evolution toward heterogeneous networks has increased the demand to support automatic monitoring and the management of heterogeneous wireless communication networks.This paper presents a multilevel pattern mining architecture to support automatic network management by discovering interesting patterns from telecom network monitoring data.This architecture leverages and combines existing frequent itemset discovery over data streams,association rule deduction,frequent sequential pattern mining,and frequent temporal pattern mining techniques while also making use of distributed processing platforms to achieve high-volume throughput.
