Research on Edge-Cloud Collaborative Resource Scheduling and Security Management Based on Intelligent Optimization and Privacy Protection

Review of Multi-Cloud Resource Allocation Optimization and Security Assurance Techniques Systems

According to the review, combining AI-powered optimisation with sophisticated security frameworks has the potential to enhance the performance, resilience and reliability of multi-cloud environments.

Intelligent Portable Edge-Cloud Computing Ar-chitecture for Secure Data Analysis and Adaptive Resource Optimization Using AI-Driven Resource Scheduling

This paper introduced an Intelligent Portable Edge – Cloud Computing Architecture (IPECA) that combines the portable computing hardware, AI-based workload prediction, adaptive resource optimization, container-based virtualization and secure edge-cloud collaboration into a single computing architecture.

Sustainable Cloud Computing in the AI Era: Energy-Aware Infrastructure, Edge Integration and Security Challenges

Cloud computing has become a part of modern technology. It is used in intelligence, online education, banking, healthcare, entertainment, business applications and many other areas. The growth of intelligence is increasing the demand for computing power, storage, networking and data-centre resources. Because of this growth, energy consumption, security and efficient resource management have become issues in cloud computing. This paper discusses cloud computing in the AI era with a focus on energy-efficient infrastructure, resource management, edge computing and cloud security. It also discusses how artificial intelligence can be used to improve cloud resource management and reduce resource usage. A simple conceptual approach based on workload monitoring, resource allocation, edge processing and security monitoring is presented. The study concludes that future cloud systems need to provide performance while also reducing unnecessary energy consumption and maintaining security and reliability.

The Role of Artificial Intelligence in Enhancing Cloud Computing: Benefits, Challenges and Security Issues.

Abstract Artificial Intelligence (AI) and Cloud Computing are two transformative technologies that reshape the digital landscape of modern organizations. Cloud computing provides scalable computing resources, storage capabilities, and on-demand services, while AI offers intelligent decision-making, automation, predictive analytics, and machine learning capabilities. The integration of AI into cloud environments has significantly improved operational efficiency, resource optimization, cybersecurity, service delivery, and business intelligence. This study explores the role of Artificial Intelligence in enhancing cloud computing infrastructures and services. The research investigates the benefits of AI-enabled cloud systems, including automated resource management, predictive maintenance, intelligent workload balancing, cost optimization, and enhanced customer experiences. Furthermore, the study examines the challenges associated with integrating AI into cloud environments, such as data privacy concerns, computational complexity, interoperability issues, algorithmic bias, and regulatory compliance. Security remains a critical concern in cloud ecosystems. Therefore, this paper analyzes major security issues including data breaches, insider threats, adversarial AI attacks, identity management vulnerabilities, and compliance risks. The study also evaluates AI-driven security mechanisms such as anomaly detection, threat intelligence, behavioral analytics, and automated incident response systems. Through an extensive literature review and qualitative analysis of existing research, the paper demonstrates that AI significantly enhances cloud computing capabilities while introducing new security and ethical challenges. The findings suggest that organizations adopting AI-powered cloud solutions must implement robust governance frameworks, cybersecurity measures, and regulatory compliance strategies to maximize benefits and minimize risks. Keywords: Artificial Intelligence, Cloud Computing, Machine Learning, Cybersecurity, Resource Optimization, Cloud Security, Big Data Analytics, Intelligent Automation, Predictive Analytics, AI-driven Cloud Services.

Security Challenges and Solutions in Cloud Computing Environments

This review examines the major security threats affecting cloud computing environments, including data breaches, account hijacking, insider threats, insecure application programming interfaces (APIs), cloud misconfigurations, distributed denial-of-service (DDoS) attacks, multi-tenancy risks, and regulatory compliance issues.

AI-based trust and decision modeling for scalable IoT networks with SDN optimization