TY - GEN
T1 - LL-MEC
T2 - 7th IEEE International Conference on Cloud Networking, CloudNet 2018
AU - Nikaein, Navid
AU - Vasilakos, Xenofon
AU - Huang, Anta
PY - 2018/11/27
Y1 - 2018/11/27
N2 - 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.
AB - 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.
KW - LTE
KW - MEC
KW - Programmability
KW - SDN
UR - http://www.scopus.com/inward/record.url?scp=85060202832&partnerID=8YFLogxK
U2 - 10.1109/CloudNet.2018.8549500
DO - 10.1109/CloudNet.2018.8549500
M3 - Conference Contribution (Conference Proceeding)
AN - SCOPUS:85060202832
T3 - Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018
BT - Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018
PB - Institute of Electrical and Electronics Engineers (IEEE)
Y2 - 22 October 2018 through 24 October 2018
ER -