Name
Abstract | ||
|---|---|---|
The virtual resources of 5G networks are expected to scale and support migration to other locations within the substrate. In this context, a configuration for 5G network slices details the instantaneous mapping of the virtual resources across all slices on the substrate, and a feasible configuration satisfies the Service-Level Objectives (SLOs) without overloading the substrate. Reconfiguring a network from a given source configuration to the desired target configuration involves identifying an ordered sequence of feasible configurations from the source to the target. The proposed solutions for finding such a sequence are optimized for data centers and cannot be used as-is for reconfiguring 5G network slices. We present
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, our divide-and-conquer approach for finding a sequence of feasible configurations that can be used to reconfigure 5G network slices. Unlike previous approaches,
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also considers the bandwidth and latency constraints between the network functions of network slices. Evaluating
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required a dataset of pairs of source and target configurations. Because such a dataset is currently unavailable, we analyze proof of concept roll-outs, trends in standardization bodies, and research sources to compile an input dataset. On using
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on our dataset, we observe that it yields close-to-optimal reconfiguration sequences
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faster than existing approaches. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JSAC.2020.2986898 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
5G mobile communication,Substrates,Data centers,Bandwidth,Network slicing,Virtual machining | Journal | 38 |
Issue | ISSN | Citations |
7 | 0733-8716 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matteo Pozza | 1 | 4 | 2.07 |
| Patrick K. Nicholson | 2 | 0 | 0.34 |
| Diego Lugones | 3 | 35 | 9.77 |
| Ashwin Rao | 4 | 222 | 18.67 |
| Hannu Flinck | 5 | 416 | 28.13 |
| Sasu Tarkoma | 6 | 1312 | 125.76 |