AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
6G-enabled edge AI for metaverse: Challenges, methods, and future research directions
L Chang, Z Zhang, P Li, S Xi, W Guo… - Journal of …, 2022 - ieeexplore.ieee.org
Sixth generation (6G) enabled edge intelligence opens up a new era of Internet of
everything and makes it possible to interconnect people-devices-cloud anytime, anywhere …
everything and makes it possible to interconnect people-devices-cloud anytime, anywhere …
When internet of things meets metaverse: Convergence of physical and cyber worlds
In recent years, the Internet of Things (IoT) has been studied in the context of the Metaverse
to provide users with immersive cyber-virtual experiences in mixed-reality environments …
to provide users with immersive cyber-virtual experiences in mixed-reality environments …
A survey of state-of-the-art on edge computing: Theoretical models, technologies, directions, and development paths
B Liu, Z Luo, H Chen, C Li - IEEE Access, 2022 - ieeexplore.ieee.org
In order to describe the roadmap of current edge computing research activities, we first
address a brief overview of the most advanced edge computing surveys published in the last …
address a brief overview of the most advanced edge computing surveys published in the last …
GOSH: Task scheduling using deep surrogate models in fog computing environments
Recently, intelligent scheduling approaches using surrogate models have been proposed to
efficiently allocate volatile tasks in heterogeneous fog environments. Advances like …
efficiently allocate volatile tasks in heterogeneous fog environments. Advances like …
Co-evolutionary and Elite learning-based bi-objective Poor and Rich Optimization algorithm for scheduling multiple workflows in the cloud
H Li, L Tian, G Xu, JRC Abreu, S Huang, S Chai… - Future Generation …, 2024 - Elsevier
Cloud computing is a cost-effective environment for deploying large-scale scientific
applications. However, multi-workflow scheduling has great challenge since users may …
applications. However, multi-workflow scheduling has great challenge since users may …
Improved chemical reaction optimization with fitness-based quasi-reflection method for scheduling in hybrid cloud-fog environment
With the advent of Internet of Things (IoT) applications, smart IoT devices are ubiquitous.
Executing these devices on cloud data centers can lead to network congestion and …
Executing these devices on cloud data centers can lead to network congestion and …
Efficient algorithm for error optimization and resource prediction to mitigate cost and energy consumption in a cloud environment
As cloud computing continues to grow, the energy consumption of cloud-edge resources
has become a concern, particularly in terms of cost of energy and environmental effects …
has become a concern, particularly in terms of cost of energy and environmental effects …
Multisensory metaverse-6G: A new paradigm of commerce and education
Multisensory Metaverse applications ignite a revolution across industries, captivating
audiences with immersive experiences. With the impending release of 6G technology, the …
audiences with immersive experiences. With the impending release of 6G technology, the …