Results 241 to 250 of about 365,445 (329)

Mobile agent‐based service migration in mobile edge computing

International Journal of Communication Systems, 2020
SummaryIn order to improve the efficiency of service migration in mobile edge computing (MEC), and obtain higher quality of service and better user experience, we take mobile agent technology, instead of container, as the application component hosting technology.
Yongan Guo, Chunlei Jiang, Tin‐Yu Wu, Anzhi Wang   +3 more
openaire   +2 more sources

Research on mobile agent computing theory

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004
A new system structure of agent is given. It gives out every semantic definition in the new agent system structure, and analyzes the agent computing based on the system structure. Finally we discuss and verify the vivid and secure properties. The paper gives a good foundation to research the theory of agent computing.
null Zhen Hua, null Yu-Lin Zhang, null Hui Fan, null Jin-Jiang Li   +3 more
openaire   +2 more sources

Message Transferring Model between Mobile Agents in Multi-region Mobile Agent Computing Environment

International Conference on Human System Interaction, 2003
In this paper, we will propose a message transferring model between mobile agents using broadcasting the receiving notification of message by home site creating the corresponding mobile agent or Mobile Agent Name Server (MANS) in the current region of the corresponding mobile agent.
MaengSoon Baik, KwonWoo Yang, JinGon Shon, ChongSun Hwang   +3 more
openaire   +2 more sources

Multi-Agent Reinforcement Learning for Distributed Resource Allocation in Cell-Free Massive MIMO-Enabled Mobile Edge Computing Network

IEEE Transactions on Vehicular Technology, 2023
To support the newly introduced multimedia services with ultra-low latency and extensive computation requirements, resource-constrained end-user devices should utilize the ubiquitous computing resources available at network edge for augmenting on-board ...
F. D. Tilahun, A. Abebe, C. Kang
semanticscholar   +1 more source

Cooperative Task Offloading for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning

IEEE Transactions on Network and Service Management, 2023
Driven by the prevalence of the computation-intensive and delay-intensive mobile applications, Mobile Edge Computing (MEC) is emerging as a promising solution.
Jian Yang, Qifeng Yuan, Shuangwu Chen, Huasen He, Xiaofeng Jiang, Xiaobin Tan   +5 more
semanticscholar   +1 more source

Multi-Agent Deep Reinforcement Learning-Based Interdependent Computing for Mobile Edge Computing-Assisted Robot Teams

IEEE Transactions on Vehicular Technology, 2023
A group of robots can be assigned with different roles to collaboratively conduct interdependent tasks. The robots form a multi-robot system (MRS), where one robot's decision or action relies on the others'.
Qimei Cui, Xiyu Zhao, Wei Ni, Zheng Hu, Xiaofeng Tao, Ping Zhang   +5 more
semanticscholar   +1 more source

Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing

IEEE Transactions on Wireless Communications, 2022
Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless networks.
Nan Zhao, Zhiyang Ye, Yiyang Pei, Ying-Chang Liang, Dusist Niyato   +4 more
semanticscholar   +1 more source

Itinerant Agents for Mobile Computing

IEEE Communications Surveys & Tutorials, 1995
Describes a framework for itinerant agents that can be used to implement secure, remote applications in large, public networks such as the Internet or the IBM Global Network. Itinerant agents are programs, dispatched from a source computer, that roam among a set of networked servers until they accomplish their task.
D. Chess, B. Grosof, C. Harrison, D. Levine, C. Parris, G. Tsudik   +5 more
openaire   +1 more source