Internet Access Service (IAS) is a crucial tool for applications and system. An existing situation which affects the quality of IAS is the Elastic Demand for network resources. This situation arose the need of resource management evolution. The most promising approach for the evolution of IAS is the deployment of Softwarized Networks. Softwarized Networks allow the splitting of network resources into Slices, where each Slice can have the most suitable configuration. Within this context, this article presents a joint approach of an Adaptive Demand Forecasting model (ADF) and an Slice Allocation algorithm to define the most suitable slices structure based on the forecasting of the network resources demand. Experiments, using a real resource demand dataset, suggest that the proposal minimizes the error rate of foreseen values and it improves the network resource usage during the IAS deployment.

中文翻译：

---

软化网络中切片分配的自适应预测模型

Internet访问服务（IAS）是应用程序和系统的重要工具。影响IAS质量的现有情况是对网络资源的弹性需求。这种情况引起了资源管理发展的需要。IAS演进的最有前途的方法是部署软化网络。软化网络允许将网络资源拆分为多个分片，其中每个分片可以具有最合适的配置。在这种情况下，本文提出了一种自适应需求预测模型（ADF）和分片分配算法的联合方法，以基于网络资源需求的预测来定义最合适的分片结构。使用真实的资源需求数据集进行实验，