A heuristic offloading method for deep learning edge services in 5G networks
With the continuous development of the Internet of Things (IoT) and communications
technology, especially under the epoch of 5G, mobile tasks with big scales of data have a …
technology, especially under the epoch of 5G, mobile tasks with big scales of data have a …
A research review on energy consumption of different frameworks in mobile cloud computing
R Somula, R Sasikala - Innovations in Computer Science and Engineering …, 2019 - Springer
The mobile cloud computing (MCC) is an emerging technology, and its popularity is
increasing drastically day by day. Mobile device has been constrained from low battery …
increasing drastically day by day. Mobile device has been constrained from low battery …
Exploration the pathways of connected electric vehicle design: A vehicle-environment cooperation energy management strategy
The advance in Internet of Vehicles (IoVs) enables an information-aggregated environment,
underpinning the connected electric vehicle (cEV) development. The sensed multi-range …
underpinning the connected electric vehicle (cEV) development. The sensed multi-range …
A fog computing architecture with multi-layer for computing-intensive iot applications
The emergence of new technologies and the era of IoT which will be based on compute-
intensive applications. These applications will increase the traffic volume of today's network …
intensive applications. These applications will increase the traffic volume of today's network …
Green Internet of vehicles: Architecture, enabling technologies, and applications
With the development of Internet of Vehicles (IoV) and the gradual maturity of 5th Generation
Mobile Networks (5G) technology, the further development of the IoV highly relies on …
Mobile Networks (5G) technology, the further development of the IoV highly relies on …
Edge-multiAI: Multi-tenancy of latency-sensitive deep learning applications on edge
Smart IoT-based systems often desire continuous execution of multiple latency-sensitive
Deep Learning (DL) applications. The edge servers serve as the cornerstone of such IoT …
Deep Learning (DL) applications. The edge servers serve as the cornerstone of such IoT …
Energy-saving service management technology of internet of things using edge computing and deep learning
D Li, M Lan, Y Hu - Complex & Intelligent Systems, 2022 - Springer
The purpose is to solve the problems of high transmission rate and low delay in the
deployment of mobile edge computing network, ensure the security and effectiveness of the …
deployment of mobile edge computing network, ensure the security and effectiveness of the …
[图书][B] AI-driven confidential computing across edge-to-cloud continuum
S Zobaed - 2022 - search.proquest.com
With the meteoric growth of technology, both individuals to organizations are widely
adopting cloud services to mitigate the burdens of maintenance. Despite its scalability and …
adopting cloud services to mitigate the burdens of maintenance. Despite its scalability and …
An adaptive replica configuration mechanism based on predictive file popularity and queue balance in mobile edge computing environment
In the current internet of things era, various devices can provide more services by
connecting to the Internet. However, the explosive growth of connected devices will cause …
connecting to the Internet. However, the explosive growth of connected devices will cause …
Deep reinforcement Learning for online VRC deployment in mobile edge computing
Y Wu, S Zhang, G Shen, G Chen - 2022 IEEE 23rd International …, 2022 - ieeexplore.ieee.org
The improvement of communication capabilities and the surge in the number of mobile
devices have led to the continuous emergence of a large number of computing-intensive …
devices have led to the continuous emergence of a large number of computing-intensive …