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Resource Allocation for Ultra-low Latency Virtual Network Services in Hierarchical 5G Network

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-7
Number of pages8
ISBN (Electronic)9781538680889
DOIs
DateAccepted/In press - 11 Mar 2019
DatePublished (current) - 15 Jul 2019
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: 20 May 201924 May 2019

Publication series

NameIEEE International Conference on Communications
Volume2019-May
ISSN (Print)1550-3607

Conference

Conference2019 IEEE International Conference on Communications, ICC 2019
CountryChina
CityShanghai
Period20/05/1924/05/19

Abstract

To support ultra-low latency 5G services flexibly and use limited resources in Multi-access Edge Computing (MEC) servers efficiently, the study of latency-aware optimal hierarchical resource allocation for Service Function Chains in 5G becomes essential. In this regard, we address this resource allocation problem, for the first time, by designing a Mixed Integer Linear Programming (MILP) model based on a hierarchical 5G network interconnecting multiple MEC nodes. The objective is to minimize the total latency from five sources: processing, queueing, transmission, propagation, and optical-electronic-optical conversion. Experimental results prove that ultra-low latency requirements can be guaranteed and maximum usage of MEC node resources can be obtained. Then, a data rate-based heuristic algorithm is proposed, which can get less than 1.5 approximation ratio under different workload scenarios and achieve at least 1.7 times as much service acceptance ratio as the baseline approach.

Event

2019 IEEE International Conference on Communications, ICC 2019

Duration20 May 201924 May 2019
CityShanghai
CountryChina

Event: Conference

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at https://doi.org/10.1109/ICC.2019.8761272 . Please refer to any applicable terms of use of the publisher.

    Final published version, 1 MB, PDF document

    Licence: Other

DOI

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