This paper introduces a next-generation cloud computing architecture designed for real-time data processing in smart cities. The architecture integrates edge computing and cloud resources, enabling efficient data flow management, real-time analytics, and decision-making processes for urban management and smart infrastructure development.

David Robert Clarke, Susan Elizabeth King, John William Harris, Jessica Anne Baker, Michael Andrew Scott

This paper explores the integration of cloud computing and blockchain technology for enhancing the security of digital transactions in e-government platforms. By leveraging decentralized ledger systems, the proposed solution provides enhanced transparency, data integrity, and resilience against cyber-attacks, ensuring secure and efficient government services.

Matthew John Daniels, Elizabeth Mary Cook, Robert Charles Green, Alice Natalie Harris, Christopher Paul Adams

This research investigates distributed cloud architectures designed for optimizing resource management in big data environments. By adopting a decentralized approach, the system enhances scalability, fault tolerance, and processing efficiency, ensuring faster and more reliable data analysis across large-scale cloud infrastructures.

Alexander Thomas Brown, Victoria Louise Harris, Jonathan Michael Smith, Emily Rose Davis, Christopher James Walker

This paper explores the application of machine learning algorithms for predictive maintenance in industrial Internet of Things (IoT) systems. By analyzing sensor data in real-time, the model predicts equipment failures, optimizing maintenance schedules and reducing downtime, thus improving operational efficiency in industrial environments.

James Richard Wilson, Sarah Ann Thomas, Daniel Christopher Scott, Olivia Marie Johnson, Robert Steven Cooper

This study presents a hybrid cloud data storage solution aimed at optimizing performance and scalability. By integrating on-premises and cloud storage, the proposed system dynamically allocates resources, ensuring seamless data access while minimizing latency, cost, and maximizing storage capacity in enterprise environments.

Benjamin Charles Murphy, Madison Victoria Davis, Elizabeth Sarah Evans, Michael John Carter, Isabelle Olivia Bennett

This paper investigates the use of blockchain technology for secure data sharing in decentralized cloud networks. By leveraging smart contracts and decentralized ledgers, the proposed system ensures data integrity, privacy, and trust in peer-to-peer cloud environments, promoting secure information exchange across various sectors.

David Alexander Lee, Jessica Laura Moore, Samuel David Mitchell, Grace Abigail King, John Maxwell Roberts

This paper explores the integration of edge computing technologies in smart cities for real-time data analytics. By processing data closer to the source, the system improves response times, reduces bandwidth usage, and enhances decision-making in urban infrastructure management, supporting sustainable development goals.

James Edward Harris, Robert Alexander Thomas, Laura Anne Collins, William Christopher Peterson, Julia Elizabeth Anderson

This paper compares various data security techniques applied in multi-tenant cloud environments. It analyzes encryption, access control, and key management strategies, evaluating their effectiveness in protecting sensitive information while maintaining scalability and performance in cloud-based systems with multiple users and applications.

Daniel Richard Clark, Sarah Jane Mitchell, Timothy Andrew Scott, Emily Grace Harris, Andrew John Young