TY - GEN
T1 - MEC Implementation in NFV Architecture Supporting 5G End-to-End Network Slicing
AU - Chan, Yao Chia
AU - Yen, Li Hsing
AU - Wang, Tse Han
AU - Tseng, Chien-Chao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Multi-access Edge Computing (MEC) utilizes computing platforms in the proximity of end users to provide cloud-based services with low latency and high reliability. The 3rd Generation Partnership Project (3GPP) introduces network slicing to provide diverse network services in 5G networks and has been working with European Telecommunications Standards Institute (ETSI) to standardize the integration of MEC with 5G to support network slicing. However, the realization of network slicing in MEC is still in early stage. All the existing studies on network slicing in MEC were based on 4G Evolved Packet Core (EPC), which do not conform to the network slicing standard developed by 3GPP. This work extends our prior work on management and orchestration (MANO) framework for 5G end-to-end (E2E) network slicing by incorporating the support for MEC. Our contribution is twofold. We report our MEC implementation in NFV architecture using all open-source software. We also make the MEC support network slicing and integrate it into an E2E networking slicing framework. The experimental results show that our MANO framework efficiently deploys k8s clusters, MEC platforms, and E2E network slices with short deployment time and low CPU and memory usage. Furthermore, the round-trip time to access services provided by MEC is much shorter than that of core networks.
AB - Multi-access Edge Computing (MEC) utilizes computing platforms in the proximity of end users to provide cloud-based services with low latency and high reliability. The 3rd Generation Partnership Project (3GPP) introduces network slicing to provide diverse network services in 5G networks and has been working with European Telecommunications Standards Institute (ETSI) to standardize the integration of MEC with 5G to support network slicing. However, the realization of network slicing in MEC is still in early stage. All the existing studies on network slicing in MEC were based on 4G Evolved Packet Core (EPC), which do not conform to the network slicing standard developed by 3GPP. This work extends our prior work on management and orchestration (MANO) framework for 5G end-to-end (E2E) network slicing by incorporating the support for MEC. Our contribution is twofold. We report our MEC implementation in NFV architecture using all open-source software. We also make the MEC support network slicing and integrate it into an E2E networking slicing framework. The experimental results show that our MANO framework efficiently deploys k8s clusters, MEC platforms, and E2E network slices with short deployment time and low CPU and memory usage. Furthermore, the round-trip time to access services provided by MEC is much shorter than that of core networks.
UR - http://www.scopus.com/inward/record.url?scp=85179761110&partnerID=8YFLogxK
U2 - 10.1109/6GNet58894.2023.10317750
DO - 10.1109/6GNet58894.2023.10317750
M3 - Conference contribution
AN - SCOPUS:85179761110
T3 - International Conference on 6G Networking, 6GNet 2023
BT - International Conference on 6G Networking, 6GNet 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on 6G Networking, 6GNet 2023
Y2 - 18 October 2023 through 20 October 2023
ER -