Name
Abstract | ||
|---|---|---|
Future 5G communication will rely on edge computing to meet diverse Quality of Service Requirements, in particular, end-to-end latency in the order of milliseconds. Placing edge clouds requires solving a large-scale set cover problem. We show how the challenge posed by the size of the problem can be overcome through GPU accelerated Natural Evolutional Strategies (NES). We present a system that allows the evaluation of technology choices, latency requirements and locations that should be covered at the example of the United States. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/NetSys.2019.8854495 | 2019 International Conference on Networked Systems (NetSys) |
Keywords | Field | DocType |
GPU Computing,Edge Cloud Computing | Edge computing,Set cover problem,Computer science,Latency (engineering),Quality of service,General-purpose computing on graphics processing units,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-7281-0569-7 | 1 | 0.35 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Kalmbach | 1 | 28 | 6.12 |
| Andreas Blenk | 2 | 215 | 23.28 |
| Wolfgang Kellerer | 3 | 1474 | 157.92 |
| Rastin Pries | 4 | 1 | 0.69 |
| Michael Jarschel | 5 | 491 | 30.18 |
| Marco Hoffmann | 6 | 273 | 17.29 |