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Computational Intelligence for Green Cloud Computing and Digital Waste Management: Intelligent Computing Resource Management in Cloud/Fog/Edge Distributed Computing
Abstract
Intelligent resource management across fog, edge, and cloud computing entails dynamic allocation, optimal utilization, and robust security measures. Cloud computing adopts a centralized approach to provision resources, whereas edge and fog computing allocate resources at the periphery, strategically minimizing latency. The incorporation of AI/ML algorithms has a pivotal role, enabling resource prediction for anticipating demand, detecting anomalies, and optimizing allocation efficiently. The self-organizing management aspect facilitates autonomous adaptation. Resource virtualization abstracts physical resources into flexible virtual counterparts, complemented by meticulous accounting that tracks consumption and costs. The inclusion of security-aware measures ensures protection against unauthorized access. This comprehensive approach not only enhances performance, scalability, and security but also promotes adaptive scaling and proactive decision-making. Additionally, the implementation of green IT practices optimizes resource utilization, effectively reducing environmental impact.
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