Articles
- Vol.23, No.1, 2025
- Vol.22, No.6, 2024
- Vol.22, No.5, 2024
- Vol.22, No.4, 2024
- Vol.22, No.3, 2024
- Vol.22, No.2, 2024
- Vol.22, No.1, 2024
- Vol.21, No.6, 2023
- Vol.21, No.5, 2023
- Vol.21, No.4, 2023
- Vol.21, No.3, 2023
- Vol.21, No.2, 2023
- Vol.21, No.1, 2023
- Vol.20, No.6, 2022
- Vol.20, No.5, 2022
- Vol.20, No.4, 2022
- Vol.20, No.3, 2022
- Vol.20, No.2, 2022
- Vol.20, No.1, 2022
- Vol.19, No.6, 2021
- Vol.19, No.5, 2021
- Vol.19, No.4, 2021
- Vol.19, No.3, 2021
- Vol.19, No.2, 2021
- Vol.19, No.1, 2021
This paper presents a novel approach to cloud resource management using deep reinforcement learning for task allocation. The proposed system adapts dynamically to changing workloads, optimizing task distribution and enhancing overall performance in large-scale cloud infrastructures while minimizing resource wastage.
David Samuel Bennett, Emma Olivia Carter, John Robert Mitchell, Lily Elizabeth Ross, Benjamin Alexander White
Paper ID: 72119501 | ✅ Access Request |
This research introduces a hybrid cloud computing architecture specifically designed for big data analytics in healthcare applications. By combining public and private cloud models, the architecture provides scalable, cost-efficient solutions for handling vast amounts of medical data while ensuring security and compliance.
Charlotte Evelyn Davis, Michael Andrew Thompson, Amelia Sophie Walker, Matthew James Clark, Olivia Grace King
Paper ID: 72119502 | ✅ Access Request |
This paper explores the integration of blockchain technology with cloud storage to optimize data security and transparency. The decentralized approach ensures secure data sharing, reduces risks of data breaches, and enhances the scalability of cloud storage systems by utilizing distributed ledgers for tracking access.
Isabella Grace Morris, Ethan William Robinson, Ava Charlotte Turner, Lucas Alexander Johnson, Mia Emily Harris
Paper ID: 72119503 | ✅ Access Request |
This paper investigates the application of real-time edge computing in smart cities, focusing on its role in enhancing urban infrastructure, monitoring systems, and services. It identifies the challenges faced in integrating edge devices with IoT systems and proposes solutions for effective real-time data processing.
Olivia Lily Bennett, Aidan Christopher Miller, Charlotte Emma Scott, Henry Daniel Phillips, Sophie Grace Parker
Paper ID: 72119504 | ✅ Access Request |
This paper presents an AI-powered cloud system for predictive healthcare, designed to monitor patient data in real time. It explores how cloud computing and machine learning techniques can predict health outcomes and improve personalized care, offering scalable solutions for modern healthcare systems.
Amelia Grace Clark, Sebastian James Anderson, Lucas Christopher Smith, Ella Nicole Harris, Owen Thomas Robinson
Paper ID: 72119505 | ✅ Access Request |
This research investigates the use of blockchain technology for secure data storage in cloud computing environments. It analyzes how decentralized ledgers can enhance data integrity, improve security, and prevent unauthorized access, providing a robust solution for cloud service providers and clients.
Benjamin Samuel Williams, Isabella Claire Harris, Noah Elijah King, Emma Madison Evans, Jack William Johnson
Paper ID: 72119506 | ✅ Access Request |
Back