… for resource-efficient edgecomputing in AIoT termed as ThriftyEdge. In this work, they proposed a device-centric approach and a resource-efficient edgecomputing scheme to minimize …
… framework with mobile edge systems, for optimizing mobile edgecomputing, caching and … -Edge AI” framework in order to intelligently utilize the collaboration among devices and edge …
R Kozik, M Choraś, M Ficco, F Palmieri - … and Distributed Computing, 2018 - Elsevier
… the processing intelligence near to the data sources. These edge devices are mainly … to the cloud in order to benefit of edgecomputing capabilities only for effectively performing traffic …
K Liu, A Gurudutt, T Kamaal, C Divakara… - … Intelligence & …, 2017 - ieeexplore.ieee.org
… time of our service layers in our edgecomputing framework. We developed the service layer … different vendors to create a common edgecomputing platform for multi-tenent applications. …
… From the Edge for FL perspective, we first analyze the key requirements for edgecomputing to support FL and then review the recent advances in edgecomputing technologies that …
… The objectives of the Special Issue were reached in terms of collecting and disseminating latest discoveries, researches and results on intelligentedgecomputing. Most of the proposed …
… Initially proposed for data centers with multiple workers, the same approach has been recently borrowed in the edgecomputing domain, where several nodes can enforce the …
Z Chen, Q He, L Liu, D Lan… - … Conference on Smart …, 2019 - ieeexplore.ieee.org
… concept of green edgeintelligence. We believe that green edgeintelligence would be a new paradigm of MEC. AI is playing a more important role in the mobile edgecomputing. In this …
J Hu, C Chen, L Cai, MR Khosravi… - IEEE Communications …, 2021 - ieeexplore.ieee.org
… , the 6G V2X networks supporting vehicular edgecomputing (VEC) need to be more flexible, smart, and adaptive. In this article, an intelligent unmanned aerial vehicle (UAV)-assisted …