2018 · 88 citations · 17 references
ComputingComputer ScienceComputer SystemsComputer NetworksOptimizationQueuing TheoryNetwork OptimizationOptimal ControlSatellite Constellation ArchitectureSatellite OrbitsSoftware-defined NetworkingSpace Traffic ManagementInteger Linear ProgrammingLinear Integer OptimizationLow Earth OrbitsNetwork Traffic DynamicsSatellite ConstellationsSoftware-defined Network ManagementTraffic LoadsTraffic Management
Software Defined Networking (SDN) has been identified as a potential approach to achieve a more flexible control and management of the traditional satellite systems and enhance the opportunities for future services including the possibility of a hybrid satellite/terrestrial network. Given the renewed interest towards Low-Earth-Orbit (LEO) constellations, an interesting research topic is the design of a suitable network management model taking into account user specific metrics. In this paper, we address this issue while investigating the use-case scenario of an SDN-enabled satellite space segment. A Dynamic Controller Placement Problem (DCPP) is considered for a LEO constellation where the traffic demands change dynamically based on users' geographical position and time zone. To this end, we develop a mathematical model and formulate it as an Integer Linear Programming (ILP) guaranteeing an optimal controller placement and satellite-to-controller assignment minimizing the average flow setup time with respect to the traffic dynamics. We show results for the DCPP regarding the average flow setup time. Furthermore, a comparison with respect to the static approach is investigated and the proposed SDN-enabled LEO constellation architecture is compared with alternative architectures proposed in the state of the art.
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