Resource request dispatch in standalone and federated MEC systems: a matching game approach

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dc.contributor.author Lin, Ming-Yi
dc.contributor.author Yen, Li-Hsing
dc.contributor.author Baghban, Hojjat
dc.date.accessioned 2019-09-16T08:01:24Z
dc.date.available 2019-09-16T08:01:24Z
dc.date.issued 2019
dc.identifier.bibliographicCitation Lin, M.Y., Yen, L.H. y Baghban, H. (2019). Resource request dispatch in standalone and federated MEC systems: a matching game approach. In IEEE Wireless Communications and Networking Conference.
dc.identifier.uri http://hdl.handle.net/10016/28811
dc.description This paper has been presented at : IEEE Wireless Communications and Networking Conference. 15-19 April 2019 Marrakech, Morocco
dc.description.abstract Multi-access edge computing (MEC) system con-sisting 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.
dc.description.sponsorship This work was partially supported by the Ministry of Science and Technology, Taiwan, under grant numbers 106-2221-E-009-004 and by the H2020 collaborative Europe/Taiwan research project 5G-CORAL (grant number 761586).
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.subject.other Resource allocation
dc.subject.other Edge computing
dc.subject.other Matching theory
dc.title Resource request dispatch in standalone and federated MEC systems: a matching game approach
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761586
dc.type.version acceptedVersion
dc.relation.eventdate 15-19 April 2019
dc.relation.eventplace Marrakech, Morocco
dc.relation.eventtitle IEEE Wireless Communications and Networking Conference
dc.relation.eventtype proceeding
dc.contributor.funder European Commission
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