Resource Request Dispatch in Standalone and Federated MEC Systems: A Matching Game Approach

Ming Yi Lin; Li-Hsing Yen; Hojjat Baghban

doi:10.1109/WCNC.2019.8886075

Resource Request Dispatch in Standalone and Federated MEC Systems: A Matching Game Approach

Ming Yi Lin, Li-Hsing Yen, Hojjat Baghban

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538676462
DOIs	https://doi.org/10.1109/WCNC.2019.8886075
State	Published - Apr 2019
Event	2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 - Marrakesh, Morocco Duration: 15 Apr 2019 → 19 Apr 2019

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2019-April
ISSN (Print)	1525-3511

Conference

Conference	2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
Country/Territory	Morocco
City	Marrakesh
Period	15/04/19 → 19/04/19

Keywords

Edge Computing
Matching Theory
Resource Allocation

Access to Document

10.1109/WCNC.2019.8886075

Cite this

Lin, M. Y., Yen, L-H., & Baghban, H. (2019). Resource Request Dispatch in Standalone and Federated MEC Systems: A Matching Game Approach. In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 Article 8886075 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2019-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2019.8886075

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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",

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year = "2019",

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series = "IEEE Wireless Communications and Networking Conference, WCNC",

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Lin, MY, Yen, L-H & Baghban, H 2019, Resource Request Dispatch in Standalone and Federated MEC Systems: A Matching Game Approach. in 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019., 8886075, IEEE Wireless Communications and Networking Conference, WCNC, vol. 2019-April, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019, Marrakesh, Morocco, 15/04/19. https://doi.org/10.1109/WCNC.2019.8886075

Resource Request Dispatch in Standalone and Federated MEC Systems: A Matching Game Approach. / Lin, Ming Yi; Yen, Li-Hsing; Baghban, Hojjat.
2019 IEEE Wireless Communications and Networking Conference, WCNC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8886075 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - Resource Allocation

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Resource Request Dispatch in Standalone and Federated MEC Systems: A Matching Game Approach

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