RT Journal Article
T1 Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure
A1 Németh, Balázs
A1 Molner, Nuria
A1 Martín Pérez, Jorge
A1 Bernardos Cano, Carlos Jesús
A1 Oliva Delgado, Antonio de la
A1 Sonkoly, Balázs
AB Ongoing research and industrial exploitation of SDN and NFV technologies promise higher flexibility on network automation and infrastructure optimization. Choosing the location of Virtual Network Functions is a central problem in the automation and optimization of the software-defined, virtualization-based next generation of networks such as 5G and beyond. Network services provided for autonomous vehicles, factory automation, e-health and cloud robotics often require strict delay bounds and reliability constraints influenced by the location of its composing Virtual Network Functions. Robots, vehicles and other end-devices provide significant capabilities such as actuators, sensors and local computation which are essential for some services. Moreover, these devices are continuously on the move and might lose network connection or run out of battery, which further challenge service delivery in this dynamic environment. This work tackles the mobility, and battery restrictions; as well as the temporal aspects and conflicting traits of reliable, low latency service deployment over a volatile network, where mobile compute nodes act as an extension of the cloud and edge computing infrastructure. The problem is formulated as a cost-minimizing Virtual Network Function placement optimization and an efficient heuristic is proposed. The algorithms are extensively evaluated from various aspects by simulation on detailed real-world scenarios.
PB IEEE
SN 1536-1233
YR 2021
FD 2021-01-28
LK https://hdl.handle.net/10016/31504
UL https://hdl.handle.net/10016/31504
LA eng
NO This work has been partially funded by the EC H2020 5G-DIVE Project (grant no.: 859881) and EC H2020 5G-GROWTH Project (grant no.: 856709).
DS e-Archivo
RD 30 jun. 2024