Joint Optimization of Sequential Task Offloading and Service Deployment in End-Edge-Cloud System for Energy Efficiency

M Teng, X Li, K Zhu - IEEE Transactions on Sustainable …, 2023 - ieeexplore.ieee.org
Intelligent terminal devices (TDs) usually request delay-sensitive and resource-demanding
jobs, which are consisted of many sequential tasks. Mobile edge computing (MEC) offloads …

Convergent Grey Wolf Optimizer Metaheuristics for Scheduling Crowdsourcing Applications in Mobile Edge Computing

Z Lian, J Shu, Y Zhang, J Sun - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Mobile crowdsourcing is a new computing paradigm that enables outsourcing computation
tasks to mobile crowd nodes by means of offloading the tasks from the user to a mobile edge …

Toward a task offloading framework based on cyber digital twins in mobile edge computing

B Tan, L Ai, M Wang, J Wang - IEEE Wireless Communications, 2023 - ieeexplore.ieee.org
In the metaverse, the concept of the digital twin has been expanded from modeling industrial
manufacturing to the counterpart of physical objects in cyberspace. The cyber digital twin is …

Cost-Minimized Computation Offloading and User Association in Hybrid Cloud and Edge Computing

J Bi, Z Wang, H Yuan, J Zhang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Smart mobile devices (SMDs) are integral for running advanced applications that demand
significant computing resources and quick response time, eg, immersive gaming and …

Applications of Deep Learning and Deep Reinforcement Learning in 6G Networks

TH Nguyen, H Park, K Seol, S So… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
As the demand for data-driven applications and emerging technologies such as extended
reality, autonomous vehicles, and the Internet of Things (IoT) continues to grow, the …

Cooperative Computing for Mobile Crowdsensing: Design and Optimization

X Xie, T Bai, W Guo, Z Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the increasing number of mobile devices, mobile crowdsensing (MCS) has garnered
significant attention in research. However, computing infrastructures such as edge/cloud …

FedTO: Mobile-Aware Task Offloading in Multi-Base Station Collaborative MEC

Z Tong, J Wang, J Mei, K Li, K Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT), mobile edge computing (MEC) has great
potential to achieve low latency, high reliability, and low energy consumption. However, in …

A Stackelberg Game Based Framework for Edge Pricing and Resource Allocation in Mobile Edge Computing

S Cheng, T Ren, H Zhang, J Huang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Nowadays, Mobile Edge Computing (MEC) appears as a new computing paradigm with its
ability to utilize the computing power of both local devices and edge servers. In MEC, edge …

Joint Server Deployment and Task Scheduling for the Maximal Profit in Mobile Edge Computing

Y Gao, J Tao, H Wang, Z Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Recently, adopting mobile-edge computing (MEC) to accommodate the compute-intensive
and delay-sensitive tasks from mobile devices has gained increasing attention from the …

TODO: Task Offloading Decision Optimizer for the efficient provision of offloading schemes

S Chen, X Wang, Y Sun - Pervasive and Mobile Computing, 2024 - Elsevier
As the volume of data stored on local devices increases, users turn to edge devices to help
with processing tasks. Developing offloading schemes is challenging due to the varying …