Multi-objective optimization algorithm based on improved particle swarm in cloud computing environment

M Zhang, G Li - Discrete and Continuous Dynamical Systems-S, 2019 - aimsciences.org
In cloud computing environment, in order to optimize the deployment scheduling of
resources, it is necessary to improve the accuracy of the optimal solution, guarantee the …

An enhanced QoS approach for multi-objective optimization using social spider optimization 5G enable IoMT network

R Jena, RC Barik, DK Yadav, S Pradhan - International Journal of …, 2024 - Springer
Abstract Social Spider Optimization (SSO) is a swarm algorithm, based on the mating and
cooperating behaviour of social spiders. This approach is basically used for global optimum …

Computational intelligence based heuristic approach for maximizing energy efficiency in internet of things

A Verma, S Kaushal, AK Sangaiah - Intelligent Decision Support Systems …, 2017 - Springer
Abstract Internet of Things (IoT) is a network of physical things or objects fixed with
electronics, software, sensors and network connectivity. It is a new revolution of the Internet …

Multi-objective optimization of cloud resource scheduling

X Li, S Wei, J Ke - 2021 17th International Conference on …, 2021 - ieeexplore.ieee.org
The research on cloud resource scheduling has become a hotspot in the field of cloud
computing. At present, many intelligent optimization algorithms have been proposed to …

Multi-objective optimization for dynamic resource provisioning in a multi-cloud environment using lion optimization algorithm

T Chaitra, S Agrawal, J Jijo… - 2020 IEEE 20th …, 2020 - ieeexplore.ieee.org
Cloud computing offers surfeit of services like storage, computing power, run-time
environment, network etc. that everyone is accustomed to use it in day-to-day lives. In cloud …

Applications of virtual machine using multi-objective optimization scheduling algorithm for improving CPU utilization and energy efficiency in cloud computing

R Choudhary, S Perinpanayagam - Energies, 2022 - mdpi.com
Financial costs and energy savings are considered to be more critical on average for
computationally intensive workflows, as such workflows which generally require extended …

Spatial Goal Refinement Patterns for IoT Applications

Y AlZahrani, J Shen, J Yan - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) is gaining more and more strength. Over the
years, IoT has offered different solutions in many areas and contexts. The diversity of these …

Original Research Article Hybrid Chaos Particle Swarm Optimization algorithm for smart Cloud Service System based on optimization resource scheduling and …

VPG Jiménez, A Al-Jumaily, A Sali… - Journal of Autonomous …, 2023 - jai.front-sci.com
To enhance the smart Cloud Service System for diverse user requirements in 5G and other
service networks, this study leverages resource utilization and multi-tenancy network slicing …

SaaS cloud selection by optimizing energy utilization and response time

P Sirohi, A Agarwal, P Maheshwari… - Journal of Green …, 2020 - nchr.elsevierpure.com
An evolutionary algorithm is an efficient approach for solving multiple objective optimization
problems and is getting popular among decision-makers and experts in deciding the …

Research on Improved Hybrid Particle Swarm Optimization Algorithm for Cloud Computing Task Scheduling

X Yang, Q Wang, Y Zhang - 2018 8th International Conference …, 2018 - atlantis-press.com
In the cloud computing environment, one of the hot spot of researches in cloud computing is
how to accomplish the service request in numerous running tasks. This paper puts forward …