DQN-based mobile edge computing for smart Internet of vehicle

L Zhang, W Zhou, J Xia, C Gao, F Zhu, C Fan… - EURASIP journal on …, 2022 - Springer
In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

Data-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds

S Zhang, Z Zhao, C Liu, S Qin - Journal of Cloud Computing, 2023 - Springer
With the increase development of Internet of Things devices, the data-intensive workflow has
emerged as a new kinds of representation for IoT applications. Because most IoT systems …

Reinforcement learning based online scheduling of multiple workflows in edge environment

B Huang, L Wang, X Liu, Z Huang, Y Yin… - … on Network and …, 2024 - ieeexplore.ieee.org
In edge environment, many smart application instances are triggered randomly by resource-
constrained Internet of Things (IoT) devices. These application instances usually consist of …

Reinforcement Learning for Security‐Aware Workflow Application Scheduling in Mobile Edge Computing

B Huang, Y Xiang, D Yu, J Wang, Z Li… - Security and …, 2021 - Wiley Online Library
Mobile edge computing as a novel computing paradigm brings remote cloud resource to the
edge servers nearby mobile users. Within one‐hop communication range of mobile users, a …

A Novel Coevolutionary Approach to Reliability Guaranteed Multi‐Workflow Scheduling upon Edge Computing Infrastructures

Z Wang, W Zheng, P Chen, Y Ma, Y Xia… - Security and …, 2020 - Wiley Online Library
Recently, mobile edge computing (MEC) is widely believed to be a promising and powerful
paradigm for bringing enterprise applications closer to data sources such as IoT devices or …

Multi-Objective Monarch Butterfly Optimization Algorithm for Efficient Workflow Scheduling in an Edge-Fog-Cloud Environment

KS Hawaou, S Yassa, VC Kamla… - 2024 20th International …, 2024 - ieeexplore.ieee.org
The fast expansion of the Internet of Things (IoT) creates new computational and storage
challenges for both service providers and end users. IoT devices, interconnected and …

A novel seq2seq-based prediction approach for workflow scheduling

Z Yang, M Zhang, H Li, W Ding - Cluster Computing, 2024 - Springer
Workflow scheduling problems have been widely studied in cloud computing and edge
computing, which aim to exploit cloud-edge resources to execute workflow tasks considering …

Task-load aware and predictive-based workflow scheduling in cloud-edge collaborative environment

M Zhang, Z Yang, J Yan, S Ali, W Ding… - Journal of Reliable …, 2022 - Springer
There are a large number of real-time streaming data task processing workflows in online
anomaly detection and intelligent transportation systems. Real-time data transmission is …

[引用][C] Security Threats to Artificial Intelligence-Driven Wireless Communication Systems 2021

H Wu