Optimal placement of applications in the fog environment: A systematic literature review

MM Islam, F Ramezani, HY Lu, M Naderpour - Journal of Parallel and …, 2023 - Elsevier
The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

Task offloading in fog computing: A survey of algorithms and optimization techniques

N Kumari, A Yadav, PK Jana - Computer Networks, 2022 - Elsevier
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Developing a Fog Computing-based AI Framework for Real-time Traffic Management and Optimization

K Meduri, GS Nadella, H Gonaygunta… - International Journal of …, 2023 - ijsdcs.com
This research is based on fog computing studies, in which we explored, designed, and
developed fog-computing AI-based real-time traffic management and optimization …

Meeting the requirements of internet of things: The promise of edge computing

A Hazra, A Kalita, M Gurusamy - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …

Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach

H Cui, Z Tang, J Lou, W Jia… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In Mobile Edge Computing (MEC), Internet of Things (IoT) devices offload computationally-
intensive tasks to edge nodes, where they are executed within containers, reducing the …

An efficient offloading technique using DQN for MEC-IoT Networks

P Shukla, S Pandey, D Agarwal - 2023 6th International …, 2023 - ieeexplore.ieee.org
In today's day there are billions of interconnected smart devices present which are called
Internet-of-Things (IoT). It contains software, sensors and a bunch of other technologies …

Towards learning-based energy-efficient online coordinated virtual network embedding framework

Z Duan, T Wang - Computer Networks, 2024 - Elsevier
Network virtualization is a highly effective technology for resource sharing within data
centers, enabling the coexistence of multiple heterogeneous virtual networks in a shared …

Distributed Service Provisioning With Collaboration of Edge and Cloud in Industry 5.0

A Hazra, A Kalita, M Gurusamy - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Industry 5.0 aims to elevate industrial operations, businesses, and revolution to new heights
by promoting sustainable, resilient, and human-centric practices. The popularity of Industry …

VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework

Z Yao, Z Tang, J Lou, P Shen, W Jia - arXiv preprint arXiv:2406.13399, 2024 - arxiv.org
The Large Language Model (LLM) has gained significant popularity and is extensively
utilized across various domains. Most LLM deployments occur within cloud data centers …

[PDF][PDF] Enhancing Quality-of-Service in Software-Defined Networks Through the Integration of Firefly-Fruit Fly Optimization and Deep Reinforcement Learning.

M Aboughaly, SA Hannan - International Journal of Advanced …, 2024 - researchgate.net
The Software Defined Networking (SDN) paradigm has emerged as a critical tool for
meeting the dynamic demands of network management with respect to efficiency and …