Tinyml meets iot: A comprehensive survey

L Dutta, S Bharali - Internet of Things, 2021 - Elsevier
The rapid growth in miniaturization of low-power embedded devices and advancement in
the optimization of machine learning (ML) algorithms have opened up a new prospect of the …

A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet

J Ren, D Zhang, S He, Y Zhang, T Li - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

Mobile edge computing: A survey

N Abbas, Y Zhang, A Taherkordi… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emergent architecture where cloud computing services
are extended to the edge of networks leveraging mobile base stations. As a promising edge …

Task offloading and resource allocation for mobile edge computing by deep reinforcement learning based on SARSA

T Alfakih, MM Hassan, A Gumaei, C Savaglio… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, computation offloading has become an effective way to overcome the
constraints of mobile devices (MDs) by offloading delay-sensitive and computation-intensive …

Mobile edge computing: A survey on architecture and computation offloading

P Mach, Z Becvar - IEEE communications surveys & tutorials, 2017 - ieeexplore.ieee.org
Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …

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 …

Energy-efficient resource allocation for mobile-edge computation offloading

C You, K Huang, H Chae… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Mobile-edge computation offloading (MECO) off-loads intensive mobile computation to
clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a …

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 …

Task offloading in fog computing: A survey of algorithms and optimization techniques

N Kumari, A Yadav, PK Jana - Computer Networks, 2022 - Elsevier
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Distributed blockchain-based trusted multidomain collaboration for mobile edge computing in 5G and beyond

H Yang, Y Liang, J Yuan, Q Yao, A Yu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) sinks computing power to the edge of networks and
integrates mobile access networks and Internet services in 5G and beyond. With the …