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Mr. Namwon An
Gwangju Institute of Science and Technology (GIST)

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Research Keywords & Expertise

0 Cyber-Physical Systems
0 Quality of Service (QoS)
0 Software Defined Networking
0 Virtualization Technology
0 Network Slicing

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Journal article
Published: 19 June 2019 in Sensors
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Network slicing is a technology that virtualizes a single infrastructure into multiple logical networks (called slices) where resources or virtualized functions can be flexibly configured by demands of applications to satisfy their quality of service (QoS) requirements. Generally, to provide the guaranteed QoS in applications, resources of slices are isolated. In wired networks, this resource isolation is enabled by allocating dedicated data bandwidths to slices. However, in wireless networks, resource isolation may be challenging because the interference between links affects the actual bandwidths of slices and degrades their QoS. In this paper, we propose a slice management scheme that mitigates the interference imposed on each slice according to their priorities by determining routes of flows with a different routing policy. Traffic flows in the slice with the highest priority are routed into shortest paths. In each lower-priority slice, the routing of traffic flows is conducted while minimizing a weighted summation of interference to other slices. Since higher-priority slices have higher interference weights, they receive lower interference from other slices. As a result, the QoS of slices is differentiated according to their priorities while the interference imposed on slices is reduced. We compared the proposed slice management scheme with a naïve slice management (NSM) method that differentiates QoS among slices by priority queuing. We conducted some simulations and the simulation results show that our proposed management scheme not only differentiates the QoS of slices according to their priorities but also enhances the average throughput and delay performance of slices remarkably compared to that of the NSM method. The simulations were conducted in grid network topologies with 16 and 100 nodes and a random network topology with 200 nodes. Simulation results indicate that the proposed slice management increased the average throughput of slices up to 6%, 13%, and 7% and reduced the average delay of slices up to 14%, 15%, and 11% in comparison with the NSM method.

ACS Style

Namwon An; Yonggang Kim; Juman Park; Dae-Hoon Kwon; Hyuk Lim. Slice Management for Quality of Service Differentiation in Wireless Network Slicing. Sensors 2019, 19, 2745 .

AMA Style

Namwon An, Yonggang Kim, Juman Park, Dae-Hoon Kwon, Hyuk Lim. Slice Management for Quality of Service Differentiation in Wireless Network Slicing. Sensors. 2019; 19 (12):2745.

Chicago/Turabian Style

Namwon An; Yonggang Kim; Juman Park; Dae-Hoon Kwon; Hyuk Lim. 2019. "Slice Management for Quality of Service Differentiation in Wireless Network Slicing." Sensors 19, no. 12: 2745.

Journal article
Published: 10 December 2018 in IEEE Internet Computing
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We consider a virtualized edge-computing infrastructure for drone applications, in which a virtualized container running on an edge node controls drones and a software-defined network provides a network connectivity between the drones and their virtualized controllers. We propose a seamless migration scheme that migrates a virtualized drone controller to an edge node that is close to its associated drone without suspending the drone control in the edge-computing infrastructure.

ACS Style

Namwon An; Seunghyun Yoon; Taejin Ha; Yohan Kim; Hyuk Lim. Seamless Virtualized Controller Migration for Drone Applications. IEEE Internet Computing 2018, 23, 51 -58.

AMA Style

Namwon An, Seunghyun Yoon, Taejin Ha, Yohan Kim, Hyuk Lim. Seamless Virtualized Controller Migration for Drone Applications. IEEE Internet Computing. 2018; 23 (2):51-58.

Chicago/Turabian Style

Namwon An; Seunghyun Yoon; Taejin Ha; Yohan Kim; Hyuk Lim. 2018. "Seamless Virtualized Controller Migration for Drone Applications." IEEE Internet Computing 23, no. 2: 51-58.

Proceedings article
Published: 24 November 2016 in 2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks)
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Network traffic can be divided into delay-sensitive and delay-tolerant traffic. Each delay-sensitive real-time flow has a different end-to-end delay deadline, and has to be delivered by that deadline. In general, real-time flows are to be processed prior to delay-tolerant flows, and each real-time flow may have the relative priority depending on its relative importance of real-time flows. A software-defined networking (SDN) makes it possible to monitor and control flows dynamically in the centralized view of the overall network. In this paper, we propose a priority-adjustment algorithm to guarantee the different delay deadlines of real-time flows in SDN-based networks. Compared to other algorithms, simulation results indicate that the number of real-time flows that satisfy their deadlines is highest in the proposed algorithm.

ACS Style

Namwon An; Taejin Ha; Kyung-Joon Park; Hyuk Lim. Dynamic priority-adjustment for real-time flows in software-defined networks. 2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks) 2016, 144 -149.

AMA Style

Namwon An, Taejin Ha, Kyung-Joon Park, Hyuk Lim. Dynamic priority-adjustment for real-time flows in software-defined networks. 2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks). 2016; ():144-149.

Chicago/Turabian Style

Namwon An; Taejin Ha; Kyung-Joon Park; Hyuk Lim. 2016. "Dynamic priority-adjustment for real-time flows in software-defined networks." 2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks) , no. : 144-149.