Abstract
In the future 5G networks, network deployment flexibility and low network latency are two of the most critical requirements and issues. Recently, network virtualization and Fog/Edge computing have been proposed as two potential solutions to enable the desired future network environment. This paper investigates the Virtual Network Embedding (VNE) problem in a Multi-access Edge Computing (MEC) architecture, according to the standards proposed by European Telecommunications Standards Institute (ETSI). We propose an embedding algorithm, called PSO-CSNR, to optimize end-to-end latency constraints in an MEC network. In addition, we adopt Activity on Vertex (AOV) network as our Virtual Network Request (VNR), which is more realistic to real applications. Moreover, we consider the latest processor technologies for substrate nodes, where the CPUs are deployed with asymmetric core frequencies, and propose the second algorithm, called DSS. The DSS can dynamically orchestrate the processing speed of each virtual function, in order to decrease the processing time of virtual functions on virtual nodes, so that the Infrastructure Providers (InPs) can gain more profit in the same amount of time. We then combine the PSO-CSNR with DSS, and refer to it as VNE-DSSO. The simulation results show that the VNE-DSSO algorithm outperforms the other existing algorithms in terms of revenue, acceptance ratio and embedding cost.
Highlights
With the explosive growth of smartphones and social media, the network traffic has grown exponentially and it is expected to increase by 40-fold over the five years, according to a white paper of Cisco System [1]
This paper proposes a novel algorithm for Virtual Network Embedding (VNE) based on dynamic speed switching orchestration in Multi-access Edge Computing (MEC) networks
In all the above previous research works, the substrate networks are equipped with fixed capacity CPUs [7]–[17] while asymmetric processing speed processors have not been considered in any existing VNE problems
Summary
With the explosive growth of smartphones and social media, the network traffic has grown exponentially and it is expected to increase by 40-fold over the five years, according to a white paper of Cisco System [1]. MEC servers are able to receive requests from the end users, and offer services or information locally in order to provide a low-latency environment. Network virtualization is another promising technology for future networks. Our contributions in this paper can be summarized as follows: 1) We extend the VNE problem into an MEC architecture, which follows the ETSI standards, and propose a novel VNEDSSO algorithm to efficiently minimize the end-to-end service time for each virtual request. We design the first MEC environment VNE algorithm, which is able to dynamically adjust the processing speed of virtual network functions to accelerate the end-to-end processing time.
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