5G Edge Computing Experiments with Intelligent Resource Allocation for Multi-Application Video Analytics
TH Chao, JH Wu, Y Chiang… - 2021 30th Wireless and …, 2021 - ieeexplore.ieee.org
The fifth-generation mobile network is characterized as the edge of wireless connectivity for
all intelligent automation. Technically, the services' requirements for Quality of Service (QoS) …
all intelligent automation. Technically, the services' requirements for Quality of Service (QoS) …
Dynamic Task Division and Allocation in Mobile Edge Computing Systems: A Latency Oriented Approach via Deep Q-Learning Network
P Tan, Y Li, M Dai, Y Wu - 2022 IEEE 23rd International …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoTs), various sensors are deployed to
collect different physical information. Smart surveillance is one of applications by analyzing …
collect different physical information. Smart surveillance is one of applications by analyzing …
Joint front–edge–cloud IoVT analytics: Resource-effective design and scheduling
A tremendous amount of visual data are bing collected by the Internet of Video Things (IoVT)
systems in which ubiquitous cameras deployed in cities enable new applications in the …
systems in which ubiquitous cameras deployed in cities enable new applications in the …
When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense …
Recently, smart cities, healthcare system, and smart vehicles have raised challenges on the
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …
Eco: Edge-cloud optimization of 5g applications
K Rao, G Coviello, WP Hsiung… - 2021 IEEE/ACM 21st …, 2021 - ieeexplore.ieee.org
Centralized cloud computing with 100+ milliseconds network latencies cannot meet the tens
of milliseconds to sub-millisecond response times required for emerging 5G applications like …
of milliseconds to sub-millisecond response times required for emerging 5G applications like …
Tutti: coupling 5G RAN and mobile edge computing for latency-critical video analytics
Mobile edge computing (MEC), as a key ingredient of the 5G ecosystem, is envisioned to
support demanding applications with stringent latency requirements. The basic idea is to …
support demanding applications with stringent latency requirements. The basic idea is to …
Intelligent video surveillance based on mobile edge networks
Video surveillance systems or Internet of Multimedia Things (IoMT) are playing a more and
more important role in our daily life. To obtain useful surveillance information timely and …
more important role in our daily life. To obtain useful surveillance information timely and …
Reinforcement learning-based mobile edge computing and transmission scheduling for video surveillance
Video surveillance plays an important role in Industrial Internet of Things (IIOT). The entire
system is demanded to output useful surveillance information in a timely and accurate …
system is demanded to output useful surveillance information in a timely and accurate …
A novel server selection strategy for multi-access edge computing
G Dilanka, L Viranga, R Pamudith… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
To realize the 5G mobile technology evolution, Multi-access Edge Computing is quite
essential. Bringing cloud services towards the edge of the mobile network produces ultra …
essential. Bringing cloud services towards the edge of the mobile network produces ultra …
Latency-aware hybrid edge cloud framework for mobile augmented reality applications
Mobile Augmented Reality (AR) has become a reality thanks to improvements in mobile
hardware. Still, mobile AR lags behind its desktop counterpart in both latency and …
hardware. Still, mobile AR lags behind its desktop counterpart in both latency and …