Machine Learning For Cloud Workload Scheduling Optimization

Authors: Nimal Perera Abstract: As cloud computing infrastructures transition from passive resource providers to "Intelligent Clouds," the complexity of managing heterogeneous, bursty, and globally distributed workloads has rendered traditional heuristic…

AI-Driven Cloud Resource Optimization And Cost Efficiency

Authors: Tharindu Silva Abstract: The rapid proliferation of cloud-native architectures has introduced unprecedented complexity in resource management, leading to significant financial waste and operational inefficiencies. This review examines the evolution…

Infrastructure-as-Code Security Using Machine Learning Techniques

Authors: Saman Jayasinghe   Abstract: Infrastructure-as-Code (IaC) has revolutionized cloud resource management by allowing developers to define complex environments through machine-readable configuration files. However, this shift-left approach also introduces significant…