Network Functions Virtualization (NFV) and Multi-access Edge Computing (MEC) play crucial roles in 5G networks for dynamically provisioning diverse communication services with heterogeneous service requirements. In particular, while NFV improves flexibility and scalability by softwarizing physical network functions as Virtual Network Functions (VNFs), MEC enables to provide delay-sensitive/time-critical services by moving computing facilities to the network edge. However, these new paradigms introduce challenges in terms of latency, availability, and resource allocation. In this paper, we first explore MEC cloud facility location selection and then latency-aware placement of VNFs in different selected locations of NFV enabled MEC cloud facilities in order to meet the ultra-low latency requirements of different applications (e.g., Tactile Internet, virtual reality, and mission-critical applications). Furthermore, we also aim to guarantee the survivability of VNFs and an edge server against failures in resource limited MEC cloud facility due to software bugs, configuration faults, etc. To this end, we formulate the problem of latency-aware and survivable mapping of VNFs in different MEC cloud facilities as an Integer Linear Programming (ILP) to minimize the overall service provisioning cost, and show that the problem is NP-hard. Owing to the high computational complexity of solving the ILP, we propose a simulated annealing based heuristic algorithm to obtain near-optimal solution in polynomial time. With extensive simulations, we show the effectiveness of our proposed solution in a real-world network topology, which performs close to the optimal solution.
翻译:在5G网络中,NFV通过软化有形网络功能(虚拟网络功能(VNF))来提高灵活性和可缩放性,而MFV通过软化物理网络功能(虚拟网络功能(VNF)),提高了灵活性和可缩放性,通过将计算机设施移到网络边缘,能够提供对延迟敏感的/时间至关重要的服务。然而,这些新模式在延缓性、可用性和资源配置方面提出了挑战。在本文中,我们首先探索MIC云设施的最佳选择,然后将VNFF系统置于不同选定地点,以动态方式提供多样化的通信服务。 此外,我们还力求保证VNFS和边缘服务器的存活性,防止由于软件错误、配置广泛故障等而导致资源有限 MEC云设施失灵。 为此,我们制定了在NEVV解决方案的不同地方安装了耐热度和可翻版的云设施,从而显示我们基于高清晰度、高清晰度、高清晰度、高清晰度、高清晰度、高清晰度的网络的图像,从而显示我们基于高清晰度、高清晰度、高清晰度、高清晰度的图像化的服务器的服务器系统系统,从而显示我们展示了高清晰的系统,从而显示了以显示高度、高成本、高度、高清晰度、高清晰度、高清晰度的服务器的服务器的服务器。