The specialized hardware remains a key component of the mobile networks, but at the same time, the telecom industry is adapting a vision of a fully programable distributed end-to-end network with cloud style management and Software-Defined Networking. In the specialized hardware programmable network, it will be possible to place workloads across abstracted compute and networking infrastructure. But, whereas virtualization standard compute resources is a mature technology and well supported in cloud management systems such as OpenStack and Kubernetes, this is not the case for specialized hardware with more complex constraints. There is a significant gap in terms of advanced constraints and service level aware schedulers. The main objective of this thesis is that the specialised hardware needs to adapt to the features of edge computing. Edge computing provides the opportunity to explore how technologies can advance industrial processes. To achieve flexibility by choosing where the workload should be processed on the board based on available resources. Utilising this technology, highly intensive applications can be handled at the network’s edge. There is a necessity to virtualize the proprietary hardware and run workloads in VMs and containers. In this thesis, we discuss kernel bypass, PCI passthrough and MPI communication technologies in a virtual environment by considering the hardware constraints and software requirements so that these technologies can be integrated into OpenStack and Kubernetes in future.