Accession Number : AD1026594


Title :   Distributed Emulation in Support of Large Networks


Descriptive Note : Technical Report


Corporate Author : Naval Postgraduate School Monterey United States


Personal Author(s) : Greunke,Brian


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1026594.pdf


Report Date : 01 Jun 2016


Pagination or Media Count : 75


Abstract : Network emulation is a valuable, though potentially resource intensive, method for virtualizing networks for analysis or testing. Though high-powered servers are becoming increasingly accessible, the size and complexity of physical networks have increased ina similar fashion, thereby limiting the type and size of networks that can be emulated on a single physical machine. In this thesis, we present a tool that allows the developers of ground truth topologies to distribute the emulation requirements across multiple physical machines, thereby increasing the size of networks that can be emulated. First, we reexamine existing tools to discover current methods for emulating synthetic and physical networks. Then we modify an existing platform to enable execution on multiple machines, while increasing flexibility for future extensions. We then develop methods for efficiently distributing the topology among the available resources in order to maximize the potential scale. Finally, we run a series of scenarios simulating real world events, such as a Border Gateway Protocol (BGP) hijack attack, in order to demonstrate the utility and efficiency of the system.


Descriptors :   linear programming , computer networks , operating systems (computers) , routing protocols , mathematical models , communication systems , computer communications , heuristic methods , network topology , algorithms , python programming language , graphical user interface , optimization


Distribution Statement : APPROVED FOR PUBLIC RELEASE