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Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing
IEEE Transactions on Wireless Communications, 2022Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless networks.
Nan Zhao +4 more
semanticscholar +1 more source
Mobile Computing for Radiology
Academic Radiology, 2013The rapid advances in mobile computing technology have the potential to change the way radiology and medicine as a whole are practiced. Several mobile computing advances have not yet found application to the practice of radiology, while others have already been applied to radiology but are not in widespread clinical use.
Justin W. Kung +8 more
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IEEE Transactions on Mobile Computing, 2022
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive computing services for industrial Internet of Things (IIoT) applications.
Lianbo Ma +5 more
semanticscholar +1 more source
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive computing services for industrial Internet of Things (IIoT) applications.
Lianbo Ma +5 more
semanticscholar +1 more source
Cooperative Task Offloading in Three-Tier Mobile Computing Networks: An ADMM Framework
IEEE Transactions on Vehicular Technology, 2019The deployment of cloud and edge computing forms a three-tier mobile computing network, where each task can be processed locally, by the edge nodes, or by the remote cloud server.
Yue Wang +4 more
semanticscholar +1 more source
Profit Maximization Incentive Mechanism for Resource Providers in Mobile Edge Computing
IEEE Transactions on Services Computing, 2022Mobile edge computing (MEC) has become a promising technique to accommodate demands of resource-constrained mobile devices by offloading the task onto edge clouds nearby.
Quyuan Wang +4 more
semanticscholar +1 more source
Interference-Aware Game-Theoretic Device Allocation for Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2022Mobile edge computing (MEC), as an emerging and prospective mobile computing paradigm, allows a content provider to serve its users by allocating their mobile devices to nearby edge servers to lower the latency in the delivery of its content to those ...
Guangming Cui +5 more
semanticscholar +1 more source
Mobile agent middleware for mobile computing
Computer, 2001Mobile computing requires an advanced infrastructure that integrates suitable support protocols, mechanisms, and tools. This mobility middleware should dynamically reallocate and trace mobile users and terminals and permit communication and coordination of mobile entities.
Bellavista P., Corradi A., Stefanelli C.
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A Novel Framework for Mobile-Edge Computing by Optimizing Task Offloading
IEEE Internet of Things Journal, 2021With the emergence of mobile computing offloading paradigms, such as mobile-edge computing (MEC), many Internet of Things applications can take advantage of the computing powers of end devices to perform local tasks without the need to rely on a ...
Naouri Abdenacer +4 more
semanticscholar +1 more source
Computer, 1993
The problems, limitations, and potential advantages of mobile computing systems are discussed. It is suggested that the constraints violate many of the assumptions upon which today's distributed systems are based. A key requirement of mobile computing systems will be the ability to access critical data regardless of location, which implies ...
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The problems, limitations, and potential advantages of mobile computing systems are discussed. It is suggested that the constraints violate many of the assumptions upon which today's distributed systems are based. A key requirement of mobile computing systems will be the ability to access critical data regardless of location, which implies ...
openaire +2 more sources
A Middleware for Mobile Edge Computing
IEEE Cloud Computing, 2017Telecom operators have recently started to deploy massive computing and storage resources at the very edge of their access networks, hence evolving their infrastructures into large, distributed, and capillary computing environments, capable of placing applications very close to users and terminals and well-suited to effectively fulfill the challenging ...
Carrega A. +3 more
openaire +2 more sources