| dc.description.abstract | The next generation of mobile telecomunications (5G) is close to be deployed around the world, however, many aspects of its implementation are open, the main topic of this next generation is to attend the future reality, i.e., that is leverage by IoT, with a prediction of more than 79.4 zettabytes of traffic per year and about 41.6 billions of connected devices. In this way, the 3GGP launched the release 15, one of presented items is a service based architeture to the core that, besides another characteristics, decouples services in a way where each service has a exclusive responsibility, making easily service multipliyng to attend most dynamic and several scenarios. This work shows a model to increase service capacity of the devices and improve the allocation of computational resources in the core. So, an architecture is proposed to provide proactive horizontal elasticity into the core. This architecture has as main components (i) a load balancer, that balancing all communications between the access network and the core related to user equipments for all mobility managing functions available and, (ii) a elasticity manager that does a allocation/deallocation of this functions, using processing load prediction of mobility managing functions. This prediction is calculated throught tendency of historical measurements using time series, more specifically a auto-regressive integrate moving average model. To show results this model was subjected to 3 load patterns. With use of this model was possible to reduct up to 38.38% in allocation of computational resources and to increase of up to 33.22% service capacity. In this way, was showed that networwing functions replications make feasible to increase service capacity and, using proactive elasticity, decrease drastically computational resource usage. | en |
