http://lattes.cnpq.br/0794745094268616; PESSOA FILHO, Ronaldo Medeiros.
Resumo:
Several challenges arise when planning the 5G deployment, such as the need to meet consolidated and emerging vertical markets and their associated requirements, which demand new
solutions to enable the evolution of the network infrastructure through a service-oriented
vision and provide greater customization and flexibility in its implementation and execution. To address these issues, the concept of Network Slicing arises, which is based on
Software Defined Networks (SDN), Network Function Virtualization (NFV), and Multiple
Access Edge Computing (MEC) to allow the creation of multiple end-to-end (E2E) virtual
networks over the same infrastructure of fully or partially shared resources.
These virtual networks can use different resource allocation models, which raises several
perspectives and questions that need to be analyzed in the process of deploying the network
slices since there is a wide variety of possible mappings between the resources of the infrastructure provider’s infrastructure. network and the service characteristics and requirements
of a customer. This variety of mappings can cause an information overload that the network
provider needs to handle to propose appropriate network slice alternatives for a certain service or business case.
In this work, we aim to analyze and extend an existing methodology that uses multiple
criteria decision-making (MCDA) techniques to address the problem of information overload
in creating network slice instances in a shared resources infrastructure and we also seek to
analyze the suitability of network slice instances created following this methodology to the
main sets of use cases defined for 5G.