@inproceedings{859294ac8bf64361a4816d691e00bbcb,
title = "GPU accelerated planning and placement of edge clouds",
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.",
keywords = "Edge Cloud Computing, GPU Computing",
author = "Patrick Kalmbach and Andreas Blenk and Wolfgang Kellerer and Rastin Pries and Michael Jarschel and Marco Hoffmann",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Networked Systems, NetSys 2019 ; Conference date: 18-03-2019 Through 21-03-2019",
year = "2019",
month = mar,
doi = "10.1109/NetSys.2019.8854495",
language = "English",
series = "Proceedings of the 2019 International Conference on Networked Systems, NetSys 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Georg Carle and Tobias Hossfeld and Wolfgang Kellerer and Jorg Ott",
booktitle = "Proceedings of the 2019 International Conference on Networked Systems, NetSys 2019",
}