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Automatic Service Discovery in Universal Plug and Play
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作者 Zeng HuiFei YunTang Liang(College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing 210003, China) 《ZTE Communications》 2006年第4期7-11,共5页
The home network technologies are taking advantage of the increasingly promising market prospect, thank to the popularity of digital home appliances. To enable control and data transfer among interconnected home netwo... The home network technologies are taking advantage of the increasingly promising market prospect, thank to the popularity of digital home appliances. To enable control and data transfer among interconnected home network devices, it is necessary to adopt the Universal Plug and Play (UPnP) technology. This technology leverages the Internet technical standards including the Internet Protocol (IP), the Transmission Control Protocol (TCP), the User Datagram Protocol (UDP), the Hypertext Transfer Protocol (HTTP), and the Extensible Markup Language (XML) to provide the automatic across-platform service discovery and the remote control. In addition to the control and the data transfer among networked devices, the UPnP provides the flexible and robust service discovery ability to change the complex network device drive into a simple remote network control. 展开更多
关键词 UPNP automatic Service discovery in Universal Plug and Play SSDP ZTE PLUG
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Multilevel Pattern Mining Architecture for Automatic Network Monitoring in Heterogeneous Wireless Communication Networks 被引量:8
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作者 Zhiguo Qu John Keeney +2 位作者 Sebastian Robitzsch Faisal Zaman Xiaojun Wang 《China Communications》 SCIE CSCD 2016年第7期108-116,共9页
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
关键词 automatic network monitoring sequential pattern mining episode discovery module
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