A survey on computation offloading modeling for edge computing

H Lin, S Zeadally, Z Chen, H Labiod, L Wang - Journal of Network and …, 2020 - Elsevier
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

Survey on fog computing: architecture, key technologies, applications and open issues

P Hu, S Dhelim, H Ning, T Qiu - Journal of network and computer …, 2017 - Elsevier
The emergence of Internet of Things (IoT) has enabled the interconnection and
intercommunication among massive ubiquitous things, which caused an unprecedented …

When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense …

S Yu, X Chen, Z Zhou, X Gong… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
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 …

Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things

Y Liu, M Peng, G Shou, Y Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …

A survey on mobile edge computing: The communication perspective

Y Mao, C You, J Zhang, K Huang… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing

W Zhan, C Luo, J Wang, C Wang, G Min… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …

Multiobjective optimization for computation offloading in fog computing

L Liu, Z Chang, X Guo, S Mao… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Fog computing system is an emergent architecture for providing computing, storage, control,
and networking capabilities for realizing Internet of Things. In the fog computing system, the …

Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks

K Zhang, Y Mao, S Leng, Q Zhao, L Li, X Peng… - IEEE …, 2016 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing
capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this …

Mobile augmented reality survey: From where we are to where we go

D Chatzopoulos, C Bermejo, Z Huang, P Hui - Ieee Access, 2017 - ieeexplore.ieee.org
The boom in the capabilities and features of mobile devices, like smartphones, tablets, and
wearables, combined with the ubiquitous and affordable Internet access and the advances …

Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning

J Shi, J Du, J Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …