TY - JOUR
T1 - FAST
T2 - Flexible and Low-Latency State Transfer in Mobile Edge Computing
AU - Doan, Tung V.
AU - Nguyen, Giang T.
AU - Reisslein, Martin
AU - Fitzek, Frank H.P.
N1 - Funding Information:
This work was supported in part by German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) as part of Germany’s Excellence Strategy–EXC 2050/1–Cluster of Excellence, Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, under Project 390696704, and in part by German Ministry for Research and Education (BMBF, Bundesministerium für Bildung und Forschung) as part of Germany’s High-Tech Strategy–FKZ under Grant 16KIS0956K.
Publisher Copyright:
© 2013 IEEE.
PY - 2021
Y1 - 2021
N2 - Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation, networking, and storage resources, close to end users, thus reducing end-to-end latency and enabling various novel use cases, such as vehicle platooning, autonomous driving, and the tactile internet. However, frequent user mobility makes it challenging for the MEC to guarantee the close proximity to the users. To tackle this challenge, the underlying network has to be capable of seamlessly migrating applications between multiple MEC sites. This application migration requires the quick and flexible migration of the application states without service interruption, while minimizing the state transfer cost. In this article, we first study the state transfer optimization problem in the MEC. To solve this problem, we propose a metaheuristic algorithm based on Tabu search. We then propose Flexible and Low-Latency State Transfer in Mobile Edge Computing (FAST), the first programmable state forwarding framework. FAST flexibly and directly forwards states between source instance and destination instance based on Software-Defined Networking (SDN). Both simulation results and practical testbed results demonstrate the favorable performance of the proposed Tabu search algorithm and the FAST framework compared to the state-of-the-art schemes.
AB - Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation, networking, and storage resources, close to end users, thus reducing end-to-end latency and enabling various novel use cases, such as vehicle platooning, autonomous driving, and the tactile internet. However, frequent user mobility makes it challenging for the MEC to guarantee the close proximity to the users. To tackle this challenge, the underlying network has to be capable of seamlessly migrating applications between multiple MEC sites. This application migration requires the quick and flexible migration of the application states without service interruption, while minimizing the state transfer cost. In this article, we first study the state transfer optimization problem in the MEC. To solve this problem, we propose a metaheuristic algorithm based on Tabu search. We then propose Flexible and Low-Latency State Transfer in Mobile Edge Computing (FAST), the first programmable state forwarding framework. FAST flexibly and directly forwards states between source instance and destination instance based on Software-Defined Networking (SDN). Both simulation results and practical testbed results demonstrate the favorable performance of the proposed Tabu search algorithm and the FAST framework compared to the state-of-the-art schemes.
KW - Application state transfer
KW - multi-access edge computing (MEC)
KW - network function virtualization (NFV)
KW - software-defined networking (SDN)
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U2 - 10.1109/ACCESS.2021.3105583
DO - 10.1109/ACCESS.2021.3105583
M3 - Article
AN - SCOPUS:85113245298
SN - 2169-3536
VL - 9
SP - 115315
EP - 115334
JO - IEEE Access
JF - IEEE Access
M1 - 9514890
ER -