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A survey on computation offloading modeling for edge computing
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 …
Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things
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 …
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
[HTML][HTML] Edge intelligence secure frameworks: Current state and future challenges
At the confluence of two great paradigms such as Edge Computing and Artificial Intelligence,
Edge Intelligence arises. This new concept is about the smart exploitation of Edge …
Edge Intelligence arises. This new concept is about the smart exploitation of Edge …
Mobility-aware joint task scheduling and resource allocation for cooperative mobile edge computing
Mobile edge computing (MEC) has emerged as a new paradigm to assist low latency
services by enabling computation offloading at the network edge. Nevertheless, human …
services by enabling computation offloading at the network edge. Nevertheless, human …
Latency minimization for D2D-enabled partial computation offloading in mobile edge computing
We consider Device-to-Device (D2D)-enabled mobile edge computing offloading scenario,
where a device can partially offload its computation task to the edge server or exploit the …
where a device can partially offload its computation task to the edge server or exploit the …
An efficient computation offloading management scheme in the densely deployed small cell networks with mobile edge computing
To tackle the contradiction between the computation intensive applications and the resource-
hungry mobile user equipments (UEs), mobile edge computing (MEC) has been provisioned …
hungry mobile user equipments (UEs), mobile edge computing (MEC) has been provisioned …
Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning
H Lu, C Gu, F Luo, W Ding, X Liu - Future Generation Computer Systems, 2020 - Elsevier
With the maturity of 5G technology and the popularity of intelligent terminal devices, the
traditional cloud computing service model cannot deal with the explosive growth of business …
traditional cloud computing service model cannot deal with the explosive growth of business …
Offloading optimization in edge computing for deep-learning-enabled target tracking by internet of UAVs
The empowering unmanned aerial vehicles (UAVs) have been extensively used in providing
intelligence such as target tracking. In our field experiments, a pretrained convolutional …
intelligence such as target tracking. In our field experiments, a pretrained convolutional …
Mobile-edge-computing-based hierarchical machine learning tasks distribution for IIoT
In this article, we propose a novel framework of mobile edge computing (MEC)-based
hierarchical machine learning (ML) tasks distribution for the Industrial Internet of Things. It is …
hierarchical machine learning (ML) tasks distribution for the Industrial Internet of Things. It is …
Task scheduling for mobile edge computing using genetic algorithm and conflict graphs
In this paper, we consider parallel and sequential task offloading to multiple mobile edge
computing servers. The task consists of a set of inter-dependent sub-tasks, which are …
computing servers. The task consists of a set of inter-dependent sub-tasks, which are …