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 …
Computation offloading toward edge computing
We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …
everyday. However, these devices are constrained by the battery and computational …
Edge AI: On-demand accelerating deep neural network inference via edge computing
As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep
Neural Networks (DNNs) have quickly attracted widespread attention. However, it is …
Neural Networks (DNNs) have quickly attracted widespread attention. However, it is …
Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …
architecture, which can empower user equipments (UEs) with computation and energy …
Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing
Mobile edge computing is a new computing paradigm, which pushes cloud computing
capabilities away from the centralized cloud to the network edge. However, with the sinking …
capabilities away from the centralized cloud to the network edge. However, with the sinking …
Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing
This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …
Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …
implementation of 5G networks and the Internet of Things, as it is the best method of …
A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems
Many previous energy-efficient computation optimization works for mobile edge computing
(MEC) systems have been based on the assumption of synchronous offloading, where all …
(MEC) systems have been based on the assumption of synchronous offloading, where all …
Multi-hop cooperative computation offloading for industrial IoT–edge–cloud computing environments
The concept of the industrial Internet of things (IIoT) is being widely applied to service
provisioning in many domains, including smart healthcare, intelligent transportation …
provisioning in many domains, including smart healthcare, intelligent transportation …
Edge QoE: Computation offloading with deep reinforcement learning for Internet of Things
H Lu, X He, M Du, X Ruan, Y Sun… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In edge-enabled Internet of Things (IoT), computation offloading service is expected to offer
users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing …
users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing …