Self-Calibrated Edge Computation for Unmodeled Time-Sensitive IoT Offloading Traffic

Self-Calibrated Edge Computation for Unmodeled Time-Sensitive IoT Offloading Traffic

With the characterizing benefits of ultra-low latency, contextual computing, and mobile scalability, mobile edge computing (MEC) is considered as a key enabler for realizing a tremendous boom in heterogeneously time-sensitive Internet-of-Things (IoT) services in the fifth-generation (5G) ecosystems....

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Bibliographic Details
Main Authors: Nhu-Ngoc Dao, Thi-Thao Nguyen, Minh-Quan Luong, Thuy Nguyen-Thanh, Woongsoo Na, Sungrae Cho
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Edge computing
the Internet of Things
mobile offloading
unmodeled traffic
Online Access:https://ieeexplore.ieee.org/document/9114998/

Internet

https://ieeexplore.ieee.org/document/9114998/

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