Implementing and Comparing Static and Machine-Learning scheduling Approaches using DPDK on an Integrated CPU/GPU
As 5G is getting closer to being commercially available, base stations processing this traffic must be improved to be able to handle the increase in traffic and demand for lower latencies. By utilizing the hardware smarter, the processing of data can be accelerated in, for example, the forwarding pl...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Programvara och system
2019
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162295 |