Co-Simulation Strategy for Photovoltaic Power Prediction and Validation of Digital Twin

DM Minhas, M Usman, G Frey - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The growing energy demand, driven by expanding population and industrial sectors, has
created a need to integrate low-cost renewable energy sources (RESs) into the power …

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems

M Doostmohammadian, A Aghasi, M Pirani… - arXiv preprint arXiv …, 2024 - arxiv.org
Resource allocation and scheduling in multi-agent systems present challenges due to
complex interactions and decentralization. This survey paper provides a comprehensive …

Network traffic reduction with spatially flexible optical networks using machine learning techniques

A Wang - Optical and Quantum Electronics, 2023 - Springer
Traffic forecasting and the utilisation of historical data are essential for intelligent and
efficient resource management, particularly in optical data centre networks (ODCNs) that …

A Roadmap Towards Optimal Resource Allocation Approaches in the Internet of Things

J Zhou - International Journal of Advanced Computer Science …, 2023 - search.proquest.com
Introducing new technologies has facilitated people's lives more than ever. As one of these
emerging technologies, the Internet of Things (IoT) enables objects we handle daily to …

Evaluation of soft computing in methodology for calculating information protection from parameters of its distribution in social networks

P Sapra, D Paikaray, N Gusain, M Abrol, S Ramesh… - Soft Computing, 2023 - Springer
Security of data has always been a big problem in information technology. Because the data
are stored in a variety of locations, including all over the world, this problem becomes even …

Modified Artificial Bee Colony Algorithm for Load Balancing in Cloud Computing Environments.

LI Qian, W Xue - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
Task scheduling in cloud computing is a complex optimization problem influenced by the
ever-changing user requirements and the different architectures of cloud systems. Efficiently …

[PDF][PDF] Cloud Task Scheduling using Particle Swarm Optimization and Capuchin Search Algorithms

W Gang, F Jiayin, JIA Dongyan… - International …, 2023 - pdfs.semanticscholar.org
Cloud providers offer heterogeneous virtual machines for the execution of a variety of tasks
requested by users. These virtual machines are managed by the cloud provider, eliminating …

Migration Techniques for Virtual Machine Distribution Using Machine Learning Heuristics Application in Cloud Computing

GS Panesar, R Chadha - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Cloud computing has revolutionized the way IT resources are provisioned, deployed, and
managed. Virtual machine (VM) migration is a crucial aspect of cloud computing that …

[PDF][PDF] Research Article An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University …

S Oladipo, Y Sun, O Adeleke - 2023 - academia.edu
Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro• fuzzy inference …

A TRUSTED COMPUTING RESOURCES OPTIMAL SCHEDULING ALGORITHM IN INDUSTRIAL INTERNET AND HEALTHCARE INTEGRATING DRL, BLOCKCHAIN …

Z Liu, J Li - Journal of Mechanics in Medicine & Biology, 2023 - search.ebscohost.com
With the rapid development of the Internet of Things (IoT) and Internet technology, the
product of the combination of the two, the Industrial Internet, has also received extensive …