Edge intelligence: A computational task offloading scheme for dependent IoT application
Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …
Offloading and resource allocation with general task graph in mobile edge computing: A deep reinforcement learning approach
In this paper, we consider a mobile-edge computing (MEC) system, where an access point
(AP) assists a mobile device (MD) to execute an application consisting of multiple tasks …
(AP) assists a mobile device (MD) to execute an application consisting of multiple tasks …
Dependent task scheduling and offloading for minimizing deadline violation ratio in mobile edge computing networks
S Liu, Y Yu, X Lian, Y Feng, C She… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
This paper considers computation offloading for mobile applications with task-dependency
requirements in mobile edge computing (MEC) systems. Based on the online arrival patterns …
requirements in mobile edge computing (MEC) systems. Based on the online arrival patterns …
A task offloading algorithm using multi-objective optimization under hybrid mode in mobile edge computing
H Hou, Z Chai, X Liu, Y Li, Y Zeng - Mobile Networks and Applications, 2023 - Springer
In mobile edge computing (MEC), edge clients have the capability to offload their computing
tasks to edge servers or other edge clients, aiming to reduce their energy consumption and …
tasks to edge servers or other edge clients, aiming to reduce their energy consumption and …
Efficient distributed edge computing for dependent delay-sensitive tasks in multi-operator multi-access networks
We study the problem of distributed computing in the multi-operator multi-access edge
computing (MEC) network for dependent tasks. Every task comprises several sub-tasks …
computing (MEC) network for dependent tasks. Every task comprises several sub-tasks …
Joint task partitioning and parallel scheduling in device-assisted mobile edge networks
With the development of the Internet of Things (IoT), certain IoT devices have the capability
to not only accomplish their own tasks but also simultaneously assist other resource …
to not only accomplish their own tasks but also simultaneously assist other resource …
Unmanned aerial vehicle computation task scheduling based on parking resources in post-disaster rescue
J Zhu, H Zhao, Y Wei, C Ma, Q Lv - Applied Sciences, 2022 - mdpi.com
Natural disasters bring huge loss of life and property to human beings. Unmanned aerial
vehicles (UAVs) own the advantages of high mobility, high flexibility, and rapid deployment …
vehicles (UAVs) own the advantages of high mobility, high flexibility, and rapid deployment …
Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks
With the rapid development of innovative applications, lots of computation-intensive and
delay-sensitive tasks are emerging. Task offloading, which is regarded as a key technology …
delay-sensitive tasks are emerging. Task offloading, which is regarded as a key technology …
Terminal cooperative interdependent computing task offloading for 6g
Y Yuan, X Xu, M Sun, P Zhang - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Towards the sixth generation (6G) mobile network, the increasingly powerful communication
and computation capacity of mobile terminals enables distributed cooperative computation …
and computation capacity of mobile terminals enables distributed cooperative computation …
DQN-based computation-intensive graph task offloading for internet of vehicles
A computation-intensive graph task comprises a set of tasks and corresponding data flows
between adjacent tasks. In this paper, we consider a mobile edge computing (MEC) system …
between adjacent tasks. In this paper, we consider a mobile edge computing (MEC) system …