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The ongoing research and industrial exploitation of SDN and NFV technologiespromise higher flexibility on network automation and infrastructureoptimization. Choosing the location of Virtual Network Functions is a centralproblem in the automation and optimization of the software-defined,virtualization-based next generation of networks such as 5G and beyond. Networkservices provided for autonomous vehicles, factory automation, e-health andcloud robotics often require strict delay bounds and reliability constraints,which are influenced by the location of its composing Virtual NetworkFunctions. Robots, vehicles and other end-devices provide significantcapabilities such as actuators, sensors and local computation which areessential for some services. Moreover, these devices are continuously on themove and might lose network connection or run out of battery power, whichfurther challenge service delivery in this dynamic environment. This worktackles the mobility, and battery restrictions; as well as the temporal aspectsand conflicting traits of reliable, low latency service deployment over avolatile network, where mobile compute nodes act as an extension of the cloudand edge computing infrastructure. The problem is formulated as acost-minimizing Virtual Network Function placement optimization and anefficient heuristic is proposed. The algorithms are extensively evaluated fromvarious aspects by simulation on detailed real-world scenarios.

Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure