Network slicing allows different applications and network services to be deployed on virtualized resources running on a common underlying physical infrastructure. Developing a scalable system for the orchestration of end-to-end (E2E) mobile network slices requires careful planning and very reliable algorithms. In this paper, we propose a novel E2E Network Slicing Orchestration System (NSOS) and a Dynamic Auto- Scaling Algorithm (DASA) for it. Our NSOS relies strongly on the foundation of a hierarchical architecture that incorporates dedicated entities per domain to manage every segment of the mobile network from the access, to the transport and core network part for a scalable orchestration of federated network slices. The DASA enables the NSOS to autonomously adapt its resources to changes in the demand for slice orchestration requests (SORs) while enforcing a given mean overall time taken by the NSOS to process any SOR. The proposed DASA includes both proactive and reactive resource provisioning techniques). The proposed resource dimensioning heuristic algorithm of the DASA is based on a queuing model for the NSOS, which consists of an open network of G/G/m queues. Finally, we validate the proper operation and evaluate the performance of our DASA solution for the NSOS by means of system-level simulations.
翻译:开发一个可扩缩的断端至端(E2E)移动网络切片管弦化系统需要仔细规划和非常可靠的算法。在本文件中,我们提出了一个新的 E2E网络切片管弦化系统(NSOS)和一个用于它的动态自动扩增升算法(DASA),我们的NSOS非常依赖一个等级结构基础,这一结构将每个域域的专用实体纳入一个专门实体,以管理从接入到运输和核心网络部分的移动网络的每一个部分,以进行联结网络切片的可扩缩管化。DSA使NSOS能够自主调整其资源以适应切片管弦化要求(SORs)需求的变化,同时执行NSOS为处理任何SOR(DAS)所花费的一定平均时间。拟议的DASASA包括主动和反应性资源提供技术。拟议DASASA的超载算法基于NSOS(NSOS)的排队模式,其中包括我们SA/SA系统常规运行系统,最后由SAG/RSA的系统升级系统进行公开测试。