TY - GEN
T1 - A Slice-Aware Network Embedding (SANE) Strategy for Network Service Requests in 6G
AU - Srinivasan, Thiruvenkadam
AU - Kowsalya, M.
AU - Kim, Hyung Jin
AU - Ra, In Ho
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 6G networks are projected to provide more individualized end-to-end services and innovative cloud-edge applications than current 5G networks. Network slicing (NS) is required when embedding 6G mobile network resources and sharing them across devices with varying needs. Recent advancements in 6G NS have been propelled by Network Function Virtualization (NFV) and Software Defined Networking (SDN) technologies, which virtualize network functions. Allocating resources in 6G is a pressing issue that needs additional study. Virtual network embedding focuses primarily on node mapping and link mapping, the two most important network properties. Resource allocation in a 6G network is addressed here by using the Slice-Aware Network Embedding (SANE) technique. The slice-defined node ranking method is shown for node mapping, and the k-shortest route algorithm is presented for link mapping, both of which are contributed to by this work. The performance of the proposed strategy is measured by looking at metrics like average acceptance rates, cost-to-revenue, and bandwidth utilization. The results of this study are compared to those of other researches done in the same area to demonstrate their validity.
AB - 6G networks are projected to provide more individualized end-to-end services and innovative cloud-edge applications than current 5G networks. Network slicing (NS) is required when embedding 6G mobile network resources and sharing them across devices with varying needs. Recent advancements in 6G NS have been propelled by Network Function Virtualization (NFV) and Software Defined Networking (SDN) technologies, which virtualize network functions. Allocating resources in 6G is a pressing issue that needs additional study. Virtual network embedding focuses primarily on node mapping and link mapping, the two most important network properties. Resource allocation in a 6G network is addressed here by using the Slice-Aware Network Embedding (SANE) technique. The slice-defined node ranking method is shown for node mapping, and the k-shortest route algorithm is presented for link mapping, both of which are contributed to by this work. The performance of the proposed strategy is measured by looking at metrics like average acceptance rates, cost-to-revenue, and bandwidth utilization. The results of this study are compared to those of other researches done in the same area to demonstrate their validity.
KW - 6G
KW - network slicing
KW - node ranking
KW - resource allocation
KW - shortest path algorithm
UR - https://www.scopus.com/pages/publications/85187022235
U2 - 10.1109/I-PACT58649.2023.10434552
DO - 10.1109/I-PACT58649.2023.10434552
M3 - Conference paper
AN - SCOPUS:85187022235
T3 - 2023 Innovations in Power and Advanced Computing Technologies, i-PACT 2023
BT - 2023 Innovations in Power and Advanced Computing Technologies, i-PACT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Innovations in Power and Advanced Computing Technologies, i-PACT 2023
Y2 - 8 December 2023 through 10 December 2023
ER -