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  5. A Novel Request Handler Algorithm for Multi-access Edge Computing Platforms in 5G
 
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A Novel Request Handler Algorithm for Multi-access Edge Computing Platforms in 5G

Author(s)
Dilanka, Gayan  
Viranga, Lakshan  
Pamudith, Rajitha  
Ranaweera, Pasika  
Liyanage, Madhusanka  
Uri
http://hdl.handle.net/10197/25927
Date Issued
2022-01-11
Date Available
2024-05-13T09:48:29Z
Abstract
Multi-access Edge Computing (MEC) is envisaging a storage and processing infrastructure at the edge of the mobile network to guarantee ultra-low latency and higher bandwidths for the provisioning services emanated by Internet of Things (IoT) devices. To achieve these dynamic requirements, MEC is adopting virtualization technologies that form a cost effective automated infrastructure ideal for 5G and beyond networks. Orchestration is the paramount task of such virtual platforms to manage and control the virtual entities autonomously. Service request handling is one such key orchestration function that handles the incoming requests to the orchestrator in case of a service initiation. However, existing service request handling procedures in MEC are still in a trivial stage. Thus, this paper proposes an advanced service request handling strategy for MEC orchestrator which can consider several factors such as service priority levels, feasibility, and resource availability. The performance of the proposed strategy is analyzed in a simulated environment and its feasibility is demonstrated using a prototype MEC infrastructure.
Other Sponsorship
Academy of Finland in 6Genesis
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2022 IEEE
Subjects

Edge computing

MEC

Orchestration

Request handling

Virtualization

DOI
10.1109/ccnc49033.2022.9700585
Language
English
Status of Item
Peer reviewed
Journal
2022 IEEE 19th Annual Consumer Communications and Networking Conference, (CCNC), Proceedings
ISBN
978-1-6654-3161-3
ISSN
2331-9860
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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IEEE_CCNC_2021___MEC_Request_Handling.pdf

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626.5 KB

Format

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Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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