Navegando por Autor "Souza, Caio Bruno Bezerra de"

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    Alocação dinâmica de recursos para URLLC em redes 5G NFV-MEC
    (2020-11-03) Souza, Caio Bruno Bezerra de; Araújo, Danilo Ricardo Barbosa de; Balieiro, Andson Marreiros; http://lattes.cnpq.br/9825617657358787; http://lattes.cnpq.br/2708354422178489; http://lattes.cnpq.br/5915479506163386
    The Fifth Generation of mobile networks (5G) seeks to support a diversity of applications categorized into three types: enhanced Mobile Broadband (eMBB), massive Machine Type Communications (mMTC) and Ultra Reliable Low Latency Communications (URLLC), where the latter is perhaps the most challenging due to its endtoend latency restrictions (few milliseconds), low probability of packet loss and high network availability, which are not reachable in today’s mobile networks. As in previous generations, much of the research effort has focused on the Radio Access Network (RAN), with the 5G core often assumed to be similar in operation to that of common data centers, although it is clear that they may not be able to handle the requirements of URLLC services. Support for URLLC applications in MultiAccess Edge Computing (MEC) environments using Network Functions Virtualization (NFV) brings challenges, in which different aspects must be considered. This work seeks to analyze the provisioning of resources for URLLC services in 5G networks based on MECNFV, considering the time of configuration / initialization of the Virtualized Network Function (VNF), the possibility of failure during service, associated with the preinitialization technique resources, determining the limits of how minimally performance the URLLC resource provisioning should be. For this purpose, an analytical model based on queue theory and validated via a simulator developed in a Colored Petri Net was proposed in this monograph and the average response time, the probability of blocking and the average number of active resources are analyzed under different service arrival rates, resource startup rates, maximum system capacity, number of resources (containers) and number of preinitialized containers. From this it was observed that the effect of the lower setup rate can be mitigated by the preinitialization of containers, reducing the waiting time for service delivery.