Scheduling algorithms in fog computing: A survey

K Matrouk, K Alatoun - International Journal of Networked and Distributed …, 2021 - Springer
Over the last recent years, applications related to the internet of things have become the
most important techniques in the world that facilitate interactions among humans and things …

Cloud–fog–based smart grid model for efficient resource management

S Zahoor, S Javaid, N Javaid, M Ashraf, F Ishmanov… - Sustainability, 2018 - mdpi.com
A smart grid (SG) is a modernized electric grid that enhances the reliability, efficiency,
sustainability, and economics of electricity services. Moreover, it plays a vital role in modern …

MrLBA: multi-resource load balancing algorithm for cloud computing using ant colony optimization

A Muteeh, M Sardaraz, M Tahir - Cluster Computing, 2021 - Springer
Cloud computing is a new paradigm of computing. This paradigm delivers services over the
internet and eliminates requirements for local data storage. Instead of purchasing hardware …

An extensive review on cloud computing

MK Gourisaria, A Samanta, A Saha, SS Patra… - Data Engineering and …, 2020 - Springer
Cloud computing is one of the most sought after fields in the world of computing and IT. This
paper is an extensive survey intended to highlighting the importance of cloud computing in …

Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms.

D Syed, G Muhammad, S Rizvi - Intelligent Automation & …, 2024 - search.ebscohost.com
Cloud Computing has the ability to provide on-demand access to a shared resource pool. It
has completely changed the way businesses are managed, implement applications, and …

Multi-timescale drought prediction using new hybrid artificial neural network models

FB Banadkooki, VP Singh, M Ehteram - Natural Hazards, 2021 - Springer
In this study, new hybrid artificial neural network (ANN) models were used for predicting the
groundwater resource index. The salp swarm algorithm (SSA), particle swarm optimization …

Task scheduling in cloud using aco

Y Natarajan, S Kannan… - Recent Advances in …, 2022 - ingentaconnect.com
Background: Cloud computing is a multi-tenant model for computation that offers various
features for computing and storage based on user demand. With increasing cloud users, the …

Load balancing in cloud environment using enhanced migration and adjustment operator based monarch butterfly optimization

R Kaviarasan, P Harikrishna, A Arulmurugan - Advances in Engineering …, 2022 - Elsevier
In the decades before the advent of computers, humans tend to make mistakes while
calculating and remembering tasks. Distributed computing helped to reduce the workload of …

An enhanced grasshopper optimization algorithm to the bin packing problem

H Feng, H Ni, R Zhao, X Zhu - Journal of Control Science and …, 2020 - Wiley Online Library
The grasshopper optimization algorithm (GOA) is a novel metaheuristic algorithm. Because
of its easy deployment and high accuracy, it is widely used in a variety of industrial scenarios …

Min-min scheduling algorithm for efficient resource distribution using cloud and fog in smart buildings

S Rehman, N Javaid, S Rasheed, K Hassan… - Advances on Broadband …, 2019 - Springer
Load Balancing helps in minimizing the consumption of resources. Cloud and fog concept is
used to manage these resources. As the cloud is a centralized network it has information of …