[Retracted] Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues
M Maray, J Shuja - Mobile Information Systems, 2022 - Wiley Online Library
Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …
mobile applications. In particular, mobile edge computing enables a computing and storage …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
Collaborate edge and cloud computing with distributed deep learning for smart city internet of things
City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …
require large amounts of computational resources and strict latency requirements. Mobile …
Intelligent computation offloading and resource allocation in IIoT with end-edge-cloud computing using NSGA-III
Industrial Internet of Things (IIoT), which consists of massive IoT devices and industrial
infrastructures such as wireless access points to acquire intelligent services, has been …
infrastructures such as wireless access points to acquire intelligent services, has been …
Edge-assisted online on-device object detection for real-time video analytics
Real-time on-device object detection for video analytics fails to meet the accuracy
requirement due to limited resources of mobile devices while offloading object detection …
requirement due to limited resources of mobile devices while offloading object detection …
Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges
DN Molokomme, AJ Onumanyi… - Journal of Sensor and …, 2022 - mdpi.com
The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …
UbiPriSEQ—Deep reinforcement learning to manage privacy, security, energy, and QoS in 5G IoT hetnets
5G networks and Internet of Things (IoT) offer a powerful platform for ubiquitous
environments with their ubiquitous sensing, high speeds and other benefits. The data …
environments with their ubiquitous sensing, high speeds and other benefits. The data …
End-edge-cloud collaborative computation offloading for multiple mobile users in heterogeneous edge-server environment
With the drastic development of Internet of things, the number of connected mobile users
(MUs) is increasing at an unprecedented speed. The increasing popularity of MUs has …
(MUs) is increasing at an unprecedented speed. The increasing popularity of MUs has …
Usability Barriers for Elderly Users in Smartphone App Usage: An Analytical Hierarchical Process‐Based Prioritization
With the latest technology, smartphone′ s profound impact may be valuable for the users in
different age groups, but the elders always face difficulties while adopting the technology …
different age groups, but the elders always face difficulties while adopting the technology …