Notwithstanding the significant research effort Network Function Virtualization (NFV) architectures received over the last few years little attention has been placed on optimizing proactive caching when considering it as a service chain. Since caching of popular content is envisioned to be one of the key technologies in emerging 5G networks to increase network efficiency and overall end user perceived quality of service we explicitly consider in this paper the interplay and subsequent optimization of caching based VNF service chains. To this end, we detail a novel mathematical programming framework tailored to VNF caching chains and detail also a scale-free heuristic to provide competitive solutions for large network instances since the problem itself can be seen as a variant of the classical NP-hard Uncapacitated Facility Location (UFL) problem. A wide set of numerical investigations are presented for characterizing the attainable system performance of the proposed schemes.
翻译:尽管过去几年来在将网络功能虚拟化(NFV)架构视为服务链时得到了大量研究努力,但人们很少注意优化积极主动的缓存,因为人们的缓存内容被认为是新兴5G网络的关键技术之一,以提高网络效率和整体终端用户对服务质量的认识,我们在本文件中明确认为基于缓存的VNF服务链的相互作用和随后的优化。为此,我们详细介绍了一个针对VNF缓存链的新颖数学方案编制框架,并详细介绍了为大型网络提供竞争性解决方案的无规模超常,因为问题本身可被视为传统NP-硬性无能力设施定位(UFL)问题的一种变体。