{"title":"LL-MEC: Enabling Low Latency Edge Applications","authors":"N. Nikaein, Xenofon Vasilakos, A. Huang","doi":"10.1109/CloudNet.2018.8549500","DOIUrl":null,"url":null,"abstract":"We present LL-MEC, the first open source Low-Latency Multi-access Edge Computing (MEC) platform enabling mobile network monitoring, control, and programmability while retaining compatibility with 3GPP and ETSI specifications. LL-MEC achieves coordinated resource programmability in end-to-end slicing scenarios by leveraging SDN towards an appropriate allocation of resources, thus drastically improving the performance of slices. We evaluate LL-MEC in three practical case studies, namely, (i) end-to-end mobile network slicing, (ii) RAN-aware video content optimization and (iii) IoT gateway, and show that it achieves a 2-4x lower user plane latency compared to LTE, while enabling low latency edge applications to operate on a per millisecond basis. Also, we highlight the benefits of RAN-aware applications in improving user Quality of Experience (QoE), showing a significant user latency reduction along with a much lower variability compared to legacy LTE. Last, a compatibility evaluation of LL-MEC over the OpenAirInterface real-time LTE platform demonstrates the scalability merits of LL-MEC due to the use of an OpenFlow Virtual Switch for the user plane function, rather than a Linux kernel in typical LTE setups.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudNet.2018.8549500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
We present LL-MEC, the first open source Low-Latency Multi-access Edge Computing (MEC) platform enabling mobile network monitoring, control, and programmability while retaining compatibility with 3GPP and ETSI specifications. LL-MEC achieves coordinated resource programmability in end-to-end slicing scenarios by leveraging SDN towards an appropriate allocation of resources, thus drastically improving the performance of slices. We evaluate LL-MEC in three practical case studies, namely, (i) end-to-end mobile network slicing, (ii) RAN-aware video content optimization and (iii) IoT gateway, and show that it achieves a 2-4x lower user plane latency compared to LTE, while enabling low latency edge applications to operate on a per millisecond basis. Also, we highlight the benefits of RAN-aware applications in improving user Quality of Experience (QoE), showing a significant user latency reduction along with a much lower variability compared to legacy LTE. Last, a compatibility evaluation of LL-MEC over the OpenAirInterface real-time LTE platform demonstrates the scalability merits of LL-MEC due to the use of an OpenFlow Virtual Switch for the user plane function, rather than a Linux kernel in typical LTE setups.