Paulo Araújo, H. López, João Faria, Alexandre J. T. Santos
{"title":"Towards Mobility Management in MEC Simulation","authors":"Paulo Araújo, H. López, João Faria, Alexandre J. T. Santos","doi":"10.1109/NetSoft57336.2023.10175403","DOIUrl":null,"url":null,"abstract":"Multi-access Edge Computing (MEC) brings cloud capabilities to the edge, allowing less powerful devices to offload tasks while, together with the effective distribution of content and resources across edge hosts, enabling ultra-low latency. With the distributed resources across the network and mobile devices constantly changing location, it is most important to correctly manage and orchestrate those resources to deliver the best possible network performance efficiently. This paper investigates how MEC systems manage mobility and which efforts have been made in mobility simulation in MEC. A MEC simulation setup and two scenarios were developed using Simu5G and evaluated regarding their latency and use of resources when subject to SUMO-generated mobility data. Analysis of the simulated scenarios show that the MEC systems reacts differently depending upon different mobility conditions. Also, the developed setup showed to be very useful to develop and test mobility management strategies in MEC environments.","PeriodicalId":223208,"journal":{"name":"2023 IEEE 9th International Conference on Network Softwarization (NetSoft)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 9th International Conference on Network Softwarization (NetSoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NetSoft57336.2023.10175403","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
Multi-access Edge Computing (MEC) brings cloud capabilities to the edge, allowing less powerful devices to offload tasks while, together with the effective distribution of content and resources across edge hosts, enabling ultra-low latency. With the distributed resources across the network and mobile devices constantly changing location, it is most important to correctly manage and orchestrate those resources to deliver the best possible network performance efficiently. This paper investigates how MEC systems manage mobility and which efforts have been made in mobility simulation in MEC. A MEC simulation setup and two scenarios were developed using Simu5G and evaluated regarding their latency and use of resources when subject to SUMO-generated mobility data. Analysis of the simulated scenarios show that the MEC systems reacts differently depending upon different mobility conditions. Also, the developed setup showed to be very useful to develop and test mobility management strategies in MEC environments.