Results 11 to 20 of about 481,739 (319)

Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments [PDF]

Future generations computer systems, 2023
Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency requirements of ever-increasing number of IoT applications and has become the mainstream computing paradigm behind IoT applications.
Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, R. Buyya   +3 more
semanticscholar   +1 more source

C-FOG: Life of Coastal Fog [PDF]

Bulletin of the American Meteorological Society, 2021
AbstractC-FOG is a comprehensive bi-national project dealing with the formation, persistence, and dissipation (life cycle) of fog in coastal areas (coastal fog) controlled by land, marine, and atmospheric processes. Given its inherent complexity, coastal-fog literature has mainly focused on case studies, and there is a continuing need for research that
Fernando, H.J.S., Gultepe, I., Dorman, C., Pardyjak, E., Wang, Q., Hoch, S.W, Richter, D., Creegan, E., Gaberšek, S., Bullock, T., Hocut, C., Chang, R., Alappattu, D., Dimitrova, R., Flagg, D., Grachev, A., Krishnamurthy, R., Singh, D.K., Lozovatsky, I., Nagare, B., Sharma, A., Wagh, S., Wainwright, C., Wroblewski, M., Yamaguchi, R., Bardoel, S., Coppersmith, R.S., Chisholm, N., Gonzalez, E., Gunawardena, N., Hyde, O., Morrison, T., Olson, A., Perelet, A., Perrie, W., Wang, S., Wauer, B.   +36 more
openaire   +2 more sources

A decade of research in fog computing: Relevance, challenges, and future directions [PDF]

Software, Practice & Experience, 2023
Recent developments in the Internet of Things (IoT) and real‐time applications, have led to the unprecedented growth in the connected devices and their generated data.
S. Srirama
semanticscholar   +1 more source

AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions [PDF]

Internet of Things, 2022
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of fog/edge computing environments ...
Sundas Iftikhar, S. Gill, Chenghao Song, Minxian Xu, M. Aslanpour, A. Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, A. M. Abdelmoniem, F. Cuadrado, B. Varghese, O. Rana, S. Dustdar, Steve Uhlig   +17 more
semanticscholar   +1 more source

DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation

IEEE Open Journal of the Computer Society, 2021
The massive data generated by large-scale dynamic systems makes its optimization facing a tough challenge. Traditional White Box-based methods directly model the internal operating mechanism of the system, so massive amounts of measured data need to be ...
Zhouyang Lin, Kai Li, Yang Yang, Fanglei Sun, Liantao Wu, Panpan Shi, Song Ci, Yong Zuo   +7 more
doaj   +1 more source

Recognition and reprogramming of E3 ubiquitin ligase surfaces by α-helical peptides

Nature Communications, 2023
Molecules that induce novel interactions between proteins hold great promise for the study of biological systems and the development of therapeutics, but their discovery has been limited by the complexities of rationally designing interactions between ...
Olena S. Tokareva, Kunhua Li, Tara L. Travaline, Ty M. Thomson, Jean-Marie Swiecicki, Mahmoud Moussa, Jessica D. Ramirez, Sean Litchman, Gregory L. Verdine, John H. McGee   +9 more
doaj   +1 more source

Mechanisms of fibrous cap formation in atherosclerosis

Frontiers in Cardiovascular Medicine, 2023
The fibrous cap is formed by smooth muscle cells that accumulate beneath the plaque endothelium. Cap rupture is the main cause of coronary thrombosis, leading to infarction and sudden cardiac death.
Laura Alonso-Herranz, Julián Albarrán-Juárez, Jacob Fog Bentzon, Jacob Fog Bentzon, Jacob Fog Bentzon   +4 more
doaj   +1 more source

Multi-Objective Grey Wolf Optimizer Algorithm for Task Scheduling in Cloud-Fog Computing

IEEE Access, 2023
The revolution of IoT and its capabilities to serve various fields led to generating a large amount of data for processing. Tasks that require an instant response, especially with sensitive delay tasks send to the fog node due to the close distance, and ...
Faten A. Saif, R. Latip, Z. Hanapi, K. Shafinah   +3 more
semanticscholar   +1 more source

All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey [PDF]

Journal of systems architecture, 2018
With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages for us.
Ashkan Yousefpour, Caleb Fung, Tam Nguyen, Krishna P. Kadiyala, Fatemeh Jalali, Amirreza Niakanlahiji, Jian Kong, J. Jue   +7 more
semanticscholar   +1 more source

iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments [PDF]

Software, Practice & Experience, 2016
Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications ...
Harshit Gupta, A. V. Dastjerdi, S. Ghosh, R. Buyya   +3 more
semanticscholar   +1 more source