Type of Document	Thesis
Author	Lawrence, Joshua
Author's Email Address	jsl05c@fsu.edu
URN	etd-08042010-160512
Title	Automatic Switch Level Topology Discovery for Ethernet Switched Clusters
Degree	Master of Science
Department	Computer Science, Department of
Advisory Committee	Advisor Name Title Xin Yuan Committee Chair Zhenghao Zhang Committee Member Zhenhai Duan Committee Member
Keywords	Switched Clusters Ethernet Topology Discovery
Date of Defense	2010-07-06
Availability	unrestricted
Abstract We present two tools that utilize the end-to-end approach for topology discovery for Ethernet switched LANs. Unlike existing Ethernet topology discovery methods that rely on Simple Network Management Protocol (SNMP) queries to obtain topology information, our tools infer topology based on end-to-end message exchanges. This method allows our tools to work on Ethernet switched LANs that use managed and/or unmanaged Ethernet switches without requiring any special privileges. We discuss the key concepts, the algorithms used, and report the evaluation for each tool.
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