  Network slicing is a crucial part of the 5G networks that communication
service providers (CSPs) seek to deploy. By exploiting three main enabling
technologies, namely, software-defined networking (SDN), network function
virtualization (NFV), and network slicing, communication services can be served
to the end-users in an efficient, scalable, and flexible manner. To adopt these
technologies, what is highly important is how to allocate the resources and
admit the customers of the CSPs based on the predefined criteria and available
resources. In this regard, we propose a novel joint resource and admission
management algorithm for slice-enabled networks. In the proposed algorithm, our
target is to minimize the network cost of the CSP subject to the slice requests
received from the tenants corresponding to the virtual machines and virtual
links constraints. Our performance evaluation of the proposed method shows its
efficiency in managing CSP's resources.
