K Yao, S Chen, SC Lai, YM Yousry - Advanced Science, 2022 - Wiley Online Library
… Distributedintelligence involving a large number of smart sensors and edgecomputing are highly demanded under the backdrop of increasing cyber-physical interactive applications …
K Kolomvatsos… - … with Artificial Intelligence …, 2018 - ieeexplore.ieee.org
… at the network edge by intelligently scheduling and distributing analytics tasks among nodes. … its applicability in edgecomputing environments. Index Terms—Edge-centric task allocation…
… IoT systems have been extensively used to produce several reliable applications with some level of intelligence. Additionally, edgecomputing manages the reduction of data routing …
S Chen, H Wen, J Wu, W Lei, W Hou, W Liu, A Xu… - IEEE …, 2019 - ieeexplore.ieee.org
… computing terminals for the power systems and weaken their dependency on the cloud centers. • Geographical distribution: Distributed deployment of edgecomputing … edgecomputing …
… In this paper, we have introduced the artificial intelligenceas-a-service (AIaaS)-enabled edgecomputing model for accomplishing a vision of edge-AI, where we propose an AI service …
Q Luo, C Li, TH Luan, W Shi - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
… propose EdgeVCD, an intelligent algorithminspired content distribution scheme in the VEC network, which maximizes the system utility for content distribution. The main contributions of …
… EdgeComputing (MEC) to support distributedintelligence. … Things and Cloud computing to enable distributedintelligence is … Mobile Cloud Computing to support distributedintelligence. …
… vision, enable distributedcomputing platforms with computational and data … Edgecomputing adds the middleware for distributed application-driven processing [1]. However, distributing …
… Mobile edgecomputing (MEC) or multiaccess edgecomputing is a network that provides cloud-computing services to mobile devices at the edge of a mobile network to reduce latency […