Energy-efficient offloading for DNN-based smart IoT systems in cloud-edge environments
Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …
Energy-efficient collaborative task computation offloading in cloud-assisted edge computing for IoT sensors
F Liu, Z Huang, L Wang - Sensors, 2019 - mdpi.com
As an emerging and promising computing paradigm in the Internet of things (IoT), edge
computing can significantly reduce energy consumption and enhance computation …
computing can significantly reduce energy consumption and enhance computation …
Computation offloading and task scheduling for DNN-based applications in cloud-edge computing
Due to the high demands of deep neural network (DNN) based applications on
computational capability, it is hard for them to be directly run on mobile devices with limited …
computational capability, it is hard for them to be directly run on mobile devices with limited …
Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing
In this paper, a software defined mobile edge computing (SD-MEC) in Internet of Things
(IoT) is investigated, in which multiple IoT devices choose to offload their computation tasks …
(IoT) is investigated, in which multiple IoT devices choose to offload their computation tasks …
A QoS-aware technique for computation offloading in IoT-edge platforms using a convolutional neural network and Markov decision process
Offloading is one of the critical enablers of the Internet of Things (IoT) as it helps overcome
the resource limitations of individual objects. Offering enough computational power for IoT …
the resource limitations of individual objects. Offering enough computational power for IoT …
DNNOff: offloading DNN-based intelligent IoT applications in mobile edge computing
A deep neural network (DNN) has become increasingly popular in industrial Internet of
Things scenarios. Due to high demands on computational capability, it is hard for DNN …
Things scenarios. Due to high demands on computational capability, it is hard for DNN …
Task offloading and resource allocation algorithm based on deep reinforcement learning for distributed AI execution tasks in IoT edge computing environments
Recently, the application of Artificial Intelligence (AI) in the Internet of Things (IoT) devices is
increasing. As these devices are limited in processing and storing massive computations of …
increasing. As these devices are limited in processing and storing massive computations of …
A computation offloading method over big data for IoT-enabled cloud-edge computing
The Internet of mobile things is a burgeoning technique that generates, stores and
processes big real-time data to render rich services for mobile users. In order to mitigate …
processes big real-time data to render rich services for mobile users. In order to mitigate …
Cost-driven off-loading for DNN-based applications over cloud, edge, and end devices
B Lin, Y Huang, J Zhang, J Hu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Currently, deep neural networks (DNNs) have achieved a great success in various
applications. Traditional deployment for DNNs in the cloud may incur a prohibitively serious …
applications. Traditional deployment for DNNs in the cloud may incur a prohibitively serious …
An intelligent dynamic offloading from cloud to edge for smart iot systems with big data
Intelligent networking and big data analytics are two important pillars for the operation of
systems. Edge computing is frequently used in smart IoT systems, particularly in those which …
systems. Edge computing is frequently used in smart IoT systems, particularly in those which …