Topology Discovery Service in the Universal Network
The current progress of network technique and the complication of network structure make administrators must spend more time and mind to maintain the system and the network under normal operation. With continuously increasing dependence on the network, it seems to be a knotty matter to know how to effectively manage all equipments on the network and to make sure they whether run it rightly or not. To make a comprehensive survey of present administrators management mode, administrators have to quite understand themselves rule networks each equipmental IP and the entire topology structure to rapidly and efficiently tend more and more complicated network environment, which work fine in most small-scale network environments, but not in slightly large-scale enironments that reveal the vitalness of leading into automation management to relieve the burden of administrator towards network management. This essays presenting an cross-layer topology discovery Algorithm (Automatic Cross-Layer Topology Discovery) that can work on network layer and data-link layer based on Simple Network Management Protocol (SNMP) that is widely used by each network administrator nowadays. It can be automatic exploration through random knotted dot, and possesses the feature of cross-layer and multiple protocols to support exploration of heterogeneous network, possesses quicker and more effective explorative ability of topology resource. The implement way will rely on the standard of the mutual communicative protocol to automatically discover the entire network topology and all network equipped link dot from integration to open source codes networkmanaged system to prove the CLTD Algorithm is effective.
Automatically Discovery NMS SNMP Topology Discovery
Yun-Sheng Yen Tung-Lung Chan Chia-Yi Liu Chwan-Yi Shiah
Fo Guang University Department of Applied Informatics Ilan, Taiwan, R.O.C. Tsing Hua University Department of Computer Science Hsin-Chu, Taiwan, R.O.C.
国际会议
上海
英文
319-323
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）