Novel use cases and verticals such as connected cars and human-robot cooperation in the areas of 5G and Tactile Internet can significantly benefit from the flexibility and reduced latency provided by Network Function Virtualization (NFV) and Multi-Access Edge Computing (MEC). Existing frameworks managing and orchestrating MEC and NFV are either tightly coupled or completely separated. The former design is inflexible and increases the complexity of one framework. Whereas, the latter leads to inefficient use of computation resources because information are not shared. We introduce APMEC, a dedicated framework for MEC while enabling the collaboration with the management and orchestration (MANO) frameworks for NFV. The new design allows to reuse allocated network services, thus maximizing resource utilization. Measurement results have shown that APMEC can allocate up to 60% more number of network services. Being developed on top of OpenStack, APMEC is an open source project, available for collaboration and facilitating further research activities.
翻译:网络功能虚拟化(NFV)和多入边缘计算(MEC)所提供的灵活性和延缓性可以大大受益于网络功能虚拟化(NFV)和多入边缘计算(MEC)所提供的灵活性和减少的延缓性。现有的管理和安排MEC和NFV的框架要么紧密结合,要么完全分离。前者的设计不灵活,增加了一个框架的复杂性。而后者导致计算资源使用效率低下,因为信息不共享。我们引入了APMEEC,这是MEC的一个专门框架,同时能够与NFV的管理和管弦化(MANO)框架合作。新的设计允许重新利用所分配的网络服务,从而最大限度地利用资源。测量结果表明,APMEC可分配到更多60%的网络服务。在OpenStack上开发,APMEC是一个开放源项目,可用于合作和促进进一步的研究活动。