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- W2912756807 abstract "Leveraging the concept of software-defined network (SDN), the integration of terrestrial and satellite networks improves the scalability and flexibility of networks. But resulting from the instability of satellite systems and ultra-high traffic volume of terrestrial networks, it is challenging to guarantee the end-to-end latency. Two major factors damage end-to-end latency are studied respectively in this paper. The first one is delay fluctuation due to limited resource and uneven traffic distribution of feeder. A load balancing algorithm based on the subset matching problem is proposed to mitigate the fluctuation. The second one is long forwarding latency due to excessive load in terrestrial networks, a resource allocation based on dynamic queue evaluation is proposed to decline the latency. Simulation results show the efficiency of our algorithm." @default.
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- W2912756807 date "2019-01-01" @default.
- W2912756807 modified "2023-09-26" @default.
- W2912756807 title "End-to-End Latency Optimization in Software Defined LEO Satellite Terrestrial Systems" @default.
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- W2912756807 doi "https://doi.org/10.1007/978-981-13-5937-8_18" @default.
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