FAST: Flexible and Low-latency State Transfer in Mobile Edge Computing

被引：6

作者：

Doan, Tung, V ^{[1
]}

Ding, Chenglin ^{[1
]}

Nguyen, Giang T. ^{[3
]}

You, Dongho ^{[1
]}

Fitzek, Frank H. P. ^{[2
]}

机构：

[1] Tech Univ Dresden, Deutsch Telekom Chair Commun Networks, Dresden, Germany

[2] Tech Univ Dresden, Ctr Tactile Internet Human In The Loop CeTI, Dresden, Germany

[3] Wandelbots GmbH, Dresden, Germany

来源：

2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2020年

关键词：

Mobile edge cloud; network function virtualizalion; software-defined networking;

D O I：

10.1109/GLOBECOM42002.2020.9322117

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is vital for Tactile Internet to constantly maintain a low-latency control loop between sensors, actuators, and their controlling software applications. Mobile Edge Computing (MEC) is an essential technology that brings the elasticity of cloud computing to run controlling applications at a close proximity to controlled objects, thus reducing latency. To support the mobility of the objects, the underlying network has to be capable of migrating MEC applications seamlessly to guarantee the close proximity. However, it is challenging to migrate application states quickly and flexibly without interrupting the control loop. We propose FAST, a flexible scheme for direct and low-latency state transfer leveraging Software-Defined Networking (SDN). Evaluation results show that compared to state of the art, FAST reduces the service migration time by 80%.

引用

页数：6

共 50 条

[21] Deep reinforcement learning-based low-latency task offloading for mobile-edge computing networks
Yang, Wentao
Liu, Zhibin
Liu, Xiaowu
Ma, Yuefeng
APPLIED SOFT COMPUTING, 2024, 166
[22] Linearizable Low-latency Reads at the Edge
Guarnieri, Joshua
Charapko, Aleksey
PROCEEDINGS OF THE 10TH WORKSHOP ON PRINCIPLES AND PRACTICE OF CONSISTENCY FOR DISTRIBUTED DATA, PAPOC 2023, 2023, : 77 - 83
[23] Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks
Prakash, Saurav
Dhakal, Sagar
Akdeniz, Mustafa Riza
Yona, Yair
Talwar, Shilpa
Avestimehr, Salman
Himayat, Nageen
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (01) : 233 - 250
[24] RECONFIGURABLE INTELLIGENT SURFACE FOR LOW-LATENCY EDGE COMPUTING IN 6G
Dai, Yueyue
Guan, Yong Liang
Leung, Kin K.
Zhang, Yan
IEEE WIRELESS COMMUNICATIONS, 2021, 28 (06) : 72 - 79
[25] Low-latency secure mobile communications
Choyi, VK
Barbeau, M
WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 2, Proceedings: MOBILE NETWORKING, 2005, : 38 - 43
[26] Resource Allocation for Low-Latency Mobile Edge Computation Offloading in NOMA Networks
Dai, Yanpeng
Sheng, Min
Liu, Junyu
Cheng, Nan
Shen, Xuemin
2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
[27] Improving Energy Efficiency of Ultra-Reliable Low-Latency and Delay Tolerant Services in Mobile Edge Computing Systems
Dong, Rui
She, Changyang
Hardjawana, Wibowo
Li, Yonghui
Vucetic, Branka
2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2019,
[28] Low-Latency VR Video Processing-Transmitting System Based on Edge Computing
Gao, Nianzhen
Zhou, Jiaxi
Wan, Guoan
Hua, Xinhai
Bi, Ting
Jiang, Tao
IEEE TRANSACTIONS ON BROADCASTING, 2024, 70 (03) : 862 - 871
[29] Low-Latency Computation Offloading based on 5G Edge Computing Systems
Pan, Zhen-Yuan
Chen, Jiann-Liang
Chang, Yao-Chung
2022 24TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ARITIFLCIAL INTELLIGENCE TECHNOLOGIES TOWARD CYBERSECURITY, 2022,
[30] Virtual Try-On Application leveraging RoCE in Low-latency Edge Computing Networks
Guaitolini, Michelangelo
Khan, Abdul H.
Le Rouzic, Emilie
Paolucci, Francesco
Cugini, Filippo
2024 24TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS, ICTON 2024, 2024,

← 1 2 3 4 5 →