2018/11/06 by Emmanouil Fountoulakis, Fountoulakis, Emmanouil, Qi Liao +5
Computer Science · Engineering · #Advanced Optical Network Technologies #FOS: Computer and information sciences #Network Traffic and Congestion Control #Networking and Internet Architecture (cs.NI) #Software-Defined Networks and 5G
paper · pdf · doi:10.48550/arxiv.1811.02330
openalex publication_date 2018/11/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Future mobile networks supporting Internet of Things are expected to provide\nboth high throughput and low latency to user-specific services. One way to\novercome this challenge is to adopt network function virtualization and\nMulti-access edge computing (MEC). In this paper, we analyze an end-to-end\ncommunication system that consists of both MEC servers and a server at the core\nnetwork hosting different types of virtual network functions. We develop a\nqueueing model for the performance analysis of the system consisting of both\nprocessing and transmission flows. The system is decomposed into subsystems\nwhich are independently analyzed in order to approximate the behaviour of the\noriginal system. We provide closed-form expressions of the performance metrics\nsuch as system drop rate and average number of tasks in the system. Simulation\nresults show that our approximation performs quite well. By evaluating the\nsystem under different scenarios, we provide insights for the decision making\non traffic flow control and its impact on critical performance metrics.\n