Virtual Resource Allocation for URLLC in MEC-enabled UAVs: A Reliability and Availability Analysis

Anais do XXVII Workshop de Gerência e Operação de Redes e Serviços (WGRS 2022) Pub Date : 2022-05-23 DOI:10.5753/wgrs.2022.223477

Marcos Falcão, Caio Souza, Andson M. Balieiro, K. Dias

{"title":"Virtual Resource Allocation for URLLC in MEC-enabled UAVs: A Reliability and Availability Analysis","authors":"Marcos Falcão, Caio Souza, Andson M. Balieiro, K. Dias","doi":"10.5753/wgrs.2022.223477","DOIUrl":null,"url":null,"abstract":"Unmanned Aerial Vehicle (UAV) communication networks and Multiaccess Edge Computing (MEC) will occupy an important position in the future wireless communication system. Unlike regular datacenter environments, MEC can help mobile devices improve computing and communication capabilities, and its combination with UAVs helps to deal with the Line of Sight (LoS) issues, besides allowing node mobility. This work addresses the dynamic resource provisioning in a UAV equipped with MEC resources (MEC-enabled UAV) that provides on demand communication capabilities to Ultra-reliable and Low-latency Communication (URLLC) services. We adopt a Continuous Time Markov Chain (CTMC) to analyze the overall node availability and reliability, while taking into account virtual host setup (repair) delays and failure events for Virtual Network Functions (VNFs) hosted on MEC-enabled UAVs. Our results show that the containerized VNF setup delays critically impact the admission process, whereas reliability is more prone towards VNF failures.","PeriodicalId":427850,"journal":{"name":"Anais do XXVII Workshop de Gerência e Operação de Redes e Serviços (WGRS 2022)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do XXVII Workshop de Gerência e Operação de Redes e Serviços (WGRS 2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/wgrs.2022.223477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Unmanned Aerial Vehicle (UAV) communication networks and Multiaccess Edge Computing (MEC) will occupy an important position in the future wireless communication system. Unlike regular datacenter environments, MEC can help mobile devices improve computing and communication capabilities, and its combination with UAVs helps to deal with the Line of Sight (LoS) issues, besides allowing node mobility. This work addresses the dynamic resource provisioning in a UAV equipped with MEC resources (MEC-enabled UAV) that provides on demand communication capabilities to Ultra-reliable and Low-latency Communication (URLLC) services. We adopt a Continuous Time Markov Chain (CTMC) to analyze the overall node availability and reliability, while taking into account virtual host setup (repair) delays and failure events for Virtual Network Functions (VNFs) hosted on MEC-enabled UAVs. Our results show that the containerized VNF setup delays critically impact the admission process, whereas reliability is more prone towards VNF failures.

查看原文本刊更多论文

无人机URLLC的虚拟资源分配:可靠性和可用性分析

无人机(UAV)通信网络和多址边缘计算(MEC)将在未来的无线通信系统中占据重要地位。与常规数据中心环境不同，MEC可以帮助移动设备提高计算和通信能力，它与无人机的结合除了允许节点移动外，还有助于处理视线(LoS)问题。这项工作解决了配备MEC资源(MEC-enabled UAV)的无人机中的动态资源配置问题，该无人机为超可靠和低延迟通信(URLLC)服务提供随需应变的通信能力。我们采用连续时间马尔可夫链(CTMC)来分析整体节点的可用性和可靠性，同时考虑虚拟主机设置(修复)延迟和虚拟网络功能(VNFs)在启用mec的无人机上托管的故障事件。我们的研究结果表明，容器化VNF设置延迟严重影响准入过程，而可靠性更容易受到VNF故障的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Anais do XXVII Workshop de Gerência e Operação de Redes e Serviços (WGRS 2022)

自引率

0.00%

发文量