Results 81 to 90 of about 3,846,226 (201)

Testing Challenges and Approaches in Edge Computing

, 2021
As known from the Internet of Things (IoT) testing there also exist multiple challenges for the Edge Computing (EC) quality assurance and automated testing process.
Hackel, Sascha, Rennoch, Axel, Willner, Alexander   +2 more
core   +1 more source

Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing

IEEE Access
Workload orchestration at the edge of the network has become increasingly challenging with the ever-increasing penetration of resource demanding mobile, and heterogeneous devices offering low latency services.
Zahra Safavifar, Eric Gyamfi, Eleni Mangina, Fatemeh Golpayegani   +3 more
doaj   +1 more source

Engineering Flexible Nanofibrous Hydroxyapatite Scaffolds With Tunable Degradation and Mechanical Properties for Bone Regeneration

Small, EarlyView.
Conventional hydroxyapatite ceramics are brittle and poorly resorbable, limiting their use in bone repair. To overcome these limitations, flexible scaffolds are fabricated using ceramic nanofibers as structural building blocks. Adjusting nanofiber characteristics allows modulating the mechanical properties and degradation, providing a versatile ...
Raúl Agut López, Ignacio Ridao Laguna, Cristián Huck‐Iriart, Maria‐Pau Ginebra, Montserrat Espanol   +4 more
wiley   +1 more source

Low-Altitude Satellite-AAV Collaborative Joint Mobile Edge Computing and Data Collection via Diffusion-based Deep Reinforcement Learning

The integration of satellite and autonomous aerial vehicle (AAV) communications has become essential for the scenarios requiring both wide coverage and rapid deployment, particularly in remote or disaster-stricken areas where the terrestrial ...
Wang, Boxiong, Kang, Hui, Wang, Jiacheng, Sun, Geng, Niyato, Dusit, Mao, Shiwen, Li, Jiahui, Sun, Zemin   +7 more
core   +1 more source

A survey of mobile edge computing

Dianxin kexue, 2018
Mobile edge computing (MEC) technology integrates IT service environment and cloud computing technology at the edge of the network,improving the capacities of computing and storage of the edge of network,reducing network operation and service delivery ...
Zishu LI, Renchao XIE, Li SUN, Tao HUANG
doaj   +2 more sources

Oxidative Damage, Energy Imbalance, and Behavioral Disruptions in Girardia tigrina Exposed to Treated Sewage Effluents

Environmental Toxicology, EarlyView.
ABSTRACT This study assessed the ecotoxicological effects of treated sewage on the freshwater planarian Girardia tigrina, integrating biochemical, energetic, and behavioral biomarkers. Planarians were exposed for 48 h to different concentrations of treated sewage (12.5%, 25%, 50%, and 100%) and compared to controls using commercial water and water from
Renata M. P. Freitas, Pedro H. Carvalho, Daniela de Melo e Silva, Carlos Gravato   +3 more
wiley   +1 more source

Joint Offloading and Energy Harvesting Design in Multiple Time Blocks for FDMA Based Wireless Powered MEC

, 2021
The combination of mobile edge computing (MEC) and wireless power transfer (WPT) is recognized as a promising technology to solve the problem of limited battery capacities and insufficient computation capabilities of mobile devices.
Long Li, Yang Li, Peng Liu, Zhiyan Yu, Gaochao Xu   +4 more
core   +1 more source

New Technologies and Applications of Edge/Fog Computing Based on Artificial Intelligence and Machine Learning

Applied Sciences
Multi-access edge computing (MEC) is an emerging computing architecture that enhances and extends traditional mobile cloud computing [...]
Ji Su Park
doaj   +1 more source

SimuLTE-MEC: extending SimuLTE for Multiaccess Edge Computing [PDF]

, 2018
Multi-access Edge Computing (MEC) is a novel paradigm to enrich current 4G and future 5G cellular networks by placing cloud-computing-based capabilities at the edge of the network.
Giovanni Stea, BUONO, ANGELO, Giovanni Nardini, Antonio Virdis   +3 more
core   +1 more source

Mobile Edge Computing-Enabled Heterogeneous Networks

, 2021
The mobile edge computing (MEC) has been introduced for providing computing capabilities at the edge of networks to improve the latency performance of wireless networks. In this paper, we provide the novel framework for MEC-enabled heterogeneous networks
Lee, Jemin, Park, Chanwon
core   +1 more source