Abstract
With the rapid development of Internet of Things (IoT) technology, Network Function Virtualization (NFV) is introduced in the edge network to provide flexible and personalized service. However, there still exist some problems to be solved, such as high cost, unbalanced load, and low availability. Therefore, a reliability-and-energy-balanced Service Function Chain (SFC) mapping and migration method is presented for IoT applications. First, aiming at improving network performance and reducing expenditure, an SFC mapping algorithm based on cost optimization, load balancing, and reliability is proposed to map SFC requests onto the network and provide backup. Second, aiming at optimizing resource configuration, an SFC migration method based on energy consumption and quality of service is proposed to integrate network resources. Simulation results show that the proposed method outperforms the compared algorithms by 15.5% and 24.55% in the acceptance ratio of SFC requests and the overall costs, respectively.
Highlights
With the fast development of smart city and 5G, the Internet of Things (IoT) has become a hot technology that can connect a wide variety of devices into the network, such as portable devices, cameras, and sensors
It divides the Service Function Chain (SFC) mapping process into mapping stage and migration stage. It uses the Measure of Importance (MOI) to balance the cost and load, and provides multiple backup modes for IoT applications to improve the availability of service and the efficiency of backup; In migration stage, we take energy and Quality of Service (QoS) into consideration, and adjust migration solution in accordance with the changing traffic to further reduce the cost
To provide flexible and reliable IoT service, we propose a two-stage REB-SFCM method for the IoT edge network
Summary
With the fast development of smart city and 5G, the Internet of Things (IoT) has become a hot technology that can connect a wide variety of devices into the network, such as portable devices, cameras, and sensors. It divides the SFC mapping process into mapping stage and migration stage In mapping stage, it uses the Measure of Importance (MOI) to balance the cost and load, and provides multiple backup modes for IoT applications to improve the availability of service and the efficiency of backup; In migration stage, we take energy and Quality of Service (QoS) into consideration, and adjust migration solution in accordance with the changing traffic to further reduce the cost. The main contributions of this paper are listed as follows: 1) Design the Measure of Importance (MOI) as a critical factor in mapping scheme to balance the cost and load, and propose a multi-mode backup mechanism to ensure service availability, including link-backup and VNF-backup mode In this way, when a node fails, it can choose an appropriate backup mode to avoid service interruption.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
