AI-Embedded Cloud Architecture for Autonomous Resource Management, Task Scheduling, Energy Optimization, and Security Enhancement

Using cloud services changed how we get, handle, distribute digital tools. However, typical cloud setups struggle with adjusting resources quickly, organizing jobs, saving power, protecting information. Adding smart technology to cloud systems looks like a good way to solve these problems. This work details a cloud system with built-in artificial intelligence. It handles resources on its own, organizes jobs smartly, improves protection, also makes energy use more efficient. The system works with four parts: it senses information, thinks about it, chooses what to do, then does it. This lets it watch things happen, predict what comes next, make choices quickly. The system uses smart computer programs, like those that remember patterns, learn efficiently, or improve through trial, to automatically manage cloud services. These programs include methods inspired by how flocks of birds or groups of animals find solutions, allowing the cloud to adjust to changes on its own. Testing with CloudSim 6.0, using actual data, shows much better resource use, going from 62% to 81%. Jobs finish quicker, about 22.5% faster. The system uses 20% less energy. It also finds security threats with 95.6% accuracy. This new plan creates a cloud system that grows easily, saves power, protects information, uses artificial intelligence, then sets the stage for clouds that run themselves.