@inproceedings{f2872d9376e5467eb3661cffd919384d,
title = "Resource Request Dispatch in Standalone and Federated MEC Systems: A Matching Game Approach",
abstract = "Multi-access edge computing (MEC) system consisting of geographically-distributed heterogeneous servers can provide low-latency virtualized resource to support computation offloading of smart devices. When bulk offloading requests comes to an MEC system, how to dispatch requests to servers so as to maximize divergent objectives of MEC service providers and users is challenging. The problem further involves money transfer when different MEC service providers can share resource to each other. In this paper, we address request dispatch issues in a standalone MEC and among federated MEC systems using matching game theory. We have adapted several classical matching algorithms to our problem. Simulation results show that we can serve more requests while still meeting latency constraints. For federated MEC systems, we can also have high revenue.",
keywords = "Edge Computing, Matching Theory, Resource Allocation",
author = "Lin, {Ming Yi} and Li-Hsing Yen and Hojjat Baghban",
year = "2019",
month = apr,
doi = "10.1109/WCNC.2019.8886075",
language = "English",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Wireless Communications and Networking Conference, WCNC 2019",
address = "United States",
note = "2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 ; Conference date: 15-04-2019 Through 19-04-2019",
}