⏩ Volume 19, Issue No.5, 2021 (CNI)
Efficient Cloud Resource Management: Leveraging Deep Reinforcement Learning for Task Allocation

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

A Hybrid Cloud Computing Architecture for Big Data Analytics in Healthcare Applications

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

Optimizing Cloud Storage with Blockchain: A Decentralized Approach for Secure Data Sharing

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

Real-Time Edge Computing for Smart Cities: Applications and Challenges

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

AI-Powered Cloud-Based Systems for Predictive Healthcare: An Integrated Approach for Real-Time Monitoring

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

Blockchain-Based Secure Data Storage Systems for Cloud Computing: A Comprehensive Study

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