Task Scheduling in Cloud Environment—Techniques, Applications, and Tools: A Systematic Literature Review
Cloud computing has become a revolutionary model for providing computational resources
and services via the internet. As the volume of tasks and the dynamic nature of cloud …
and services via the internet. As the volume of tasks and the dynamic nature of cloud …
Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms.
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 …
has completely changed the way businesses are managed, implement applications, and …
VMMISD: An Efficient Load Balancing Model for Virtual Machine Migrations via Fused Metaheuristics With Iterative Security Measures and Deep Learning …
MG Brahmam, RV Anand - IEEE Access, 2024 - ieeexplore.ieee.org
As cloud computing continues to evolve, the need for efficient and secure management of
virtual machine (VM) migrations has become increasingly evident. Traditional models often …
virtual machine (VM) migrations has become increasingly evident. Traditional models often …
A comparative analysis of metaheuristic techniques for high availability systems
In the ever-evolving technological landscape, ensuring high system availability has become
a paramount concern. This research paper focuses on cloud computing, a domain …
a paramount concern. This research paper focuses on cloud computing, a domain …
Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks
Smart devices are enabled via the Internet of Things (IoT) and are connected in an
uninterrupted world. These connected devices pose a challenge to cybersecurity systems …
uninterrupted world. These connected devices pose a challenge to cybersecurity systems …
[HTML][HTML] Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh
Forecasting rainfall is crucial to the well-being of individuals and is significant everywhere in
the world. It contributes to reducing the disastrous effects of floods on agriculture, human life …
the world. It contributes to reducing the disastrous effects of floods on agriculture, human life …
Battle Royale deep reinforcement learning algorithm for effective load balancing in cloud computing
In recent times, cloud computing become a promising technology for providing computing
sources and storage services to individual users and organizations over the internet via its …
sources and storage services to individual users and organizations over the internet via its …
[PDF][PDF] Adaptive Heterogeneity Index Cloudlet Scheduler for Variable Workload and Virtual Machine Configuration
D Gritto, P Muthulakshmi - Iraqi Journal for Computer Science and …, 2024 - iasj.net
Cloud environments often exhibit varying levels of heterogeneity arising from the diverse
characteristics of cloudlets and virtual machines. This research paper focuses on addressing …
characteristics of cloudlets and virtual machines. This research paper focuses on addressing …
Classification of Load Balancing Optimization Algorithms in Cloud Computing: A Survey Based on Methodology
In this paper, a modern classification of load balancing strategies in cloud computing is
presented that can help researchers and practitioners to better understand and select the …
presented that can help researchers and practitioners to better understand and select the …
Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing
Cloud computing is a technology that enables the delivery of various computing services
over the Internet. The Resource Scheduling (RS) and Load Balancing (LB) mechanisms are …
over the Internet. The Resource Scheduling (RS) and Load Balancing (LB) mechanisms are …