Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
[HTML][HTML] Requirements for energy-harvesting-driven edge devices using task-offloading approaches
Energy limitations remain a key concern in the development of Internet of Medical Things
(IoMT) devices since most of them have limited energy sources, mainly from batteries …
(IoMT) devices since most of them have limited energy sources, mainly from batteries …
Cloud‐Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems
Considering task dependencies, the balancing of the Internet of Health Things (IoHT)
scheduling is considered important to reduce the make span rate. In this paper, we …
scheduling is considered important to reduce the make span rate. In this paper, we …
Task selection and scheduling in UAV-enabled MEC for reconnaissance with time-varying priorities
In this article, we study the problem of task selection and scheduling in unmanned aerial
vehicle (UAV)-enabled multiaccess edge computing for reconnaissance (ASSUMER) …
vehicle (UAV)-enabled multiaccess edge computing for reconnaissance (ASSUMER) …
DRL-based URLLC-constraint and energy-efficient task offloading for Internet of Health Things
Internet of Health Things (IoHT) is a promising e-Health paradigm that involves offloading
numerous computational-intensive and delay-sensitive tasks from locally limited IoHT points …
numerous computational-intensive and delay-sensitive tasks from locally limited IoHT points …
Priority-aware path planning and user scheduling for UAV-mounted MEC networks: A deep reinforcement learning approach
X Zheng, Y Wu, L Zhang, M Tang, F Zhu - Physical Communication, 2024 - Elsevier
Owing to the flexibility and controllability, unmanned aerial vehicle (UAV) is frequently
integrated into mobile edge computing (MEC) network to improve the system performance …
integrated into mobile edge computing (MEC) network to improve the system performance …
Computation offloading for tasks with bound constraints in multiaccess edge computing
Multiaccess edge computing (MEC) provides task offloading services to facilitate the
integration of idle resources with the network and bring cloud services closer to the end …
integration of idle resources with the network and bring cloud services closer to the end …
Optimal pricing for offloaded hard-and soft-deadline tasks in edge computing
In this paper, we study the deadline-aware task data offloading in edge-cloud computing
systems. The hard-deadline tasks strictly demand to be processed within their delay …
systems. The hard-deadline tasks strictly demand to be processed within their delay …
A cloud-edge collaborative task scheduling method based on model segmentation
C Zhang, J Chen, W Li, H Sun, Y Geng, T Zhang… - Journal of Cloud …, 2024 - Springer
With the continuous development and combined application of cloud computing and artificial
intelligence, some new methods have emerged to reduce task execution time for training …
intelligence, some new methods have emerged to reduce task execution time for training …
Optimization search strategy for task offloading from collaborative edge computing
Edge computing is a popular paradigm in solving the problems of long time delay and high
energy consumption in Internet of Things (IoT) network, which can effectively realize the IoT …
energy consumption in Internet of Things (IoT) network, which can effectively realize the IoT …