Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet
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 …
driving cloud computing as a dominant computing paradigm. However, the dramatically …
Latency minimization for intelligent reflecting surface aided mobile edge computing
Computation off-loading in mobile edge computing (MEC) systems constitutes an efficient
paradigm of supporting resource-intensive applications on mobile devices. However, the …
paradigm of supporting resource-intensive applications on mobile devices. However, the …
Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization
In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) with the objective to optimize computation offloading with minimum UAV energy …
(MEC) with the objective to optimize computation offloading with minimum UAV energy …
Vehicular edge computing and networking: A survey
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …
(VANET) has received remarkable interest from academia and industry. The emerging …
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 …
storage facilities toward the edge of a network. This new computing paradigm opens up new …
Collaborative cloud and edge computing for latency minimization
By performing data processing at the network edge, mobile edge computing can effectively
overcome the deficiencies of network congestion and long latency in cloud computing …
overcome the deficiencies of network congestion and long latency in cloud computing …
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising
paradigm to enhance the data processing capability of low-power networks, such as …
paradigm to enhance the data processing capability of low-power networks, such as …
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …
intensive applications but they only have limited resources, including CPU, memory, battery …
Cooperative computation offloading and resource allocation for blockchain-enabled mobile-edge computing: A deep reinforcement learning approach
Mobile-edge computing (MEC) is a promising paradigm to improve the quality of
computation experience of mobile devices because it allows mobile devices to offload …
computation experience of mobile devices because it allows mobile devices to offload …