Cognitive Cloud Computing: Harnessing AI to Enable Proactive Fault Prediction and Resource Allocation in Complex Cloud Systems
Keywords:
Cognitive Cloud Computing, Artificial Intelligence (AI), Proactive Fault Prediction, Resource Allocation, Cloud SystemsAbstract
Cognitive cloud computing represents a paradigm shift in the management of cloud systems, leveraging artificial intelligence (AI) to enhance operational efficiency and reliability. This research article explores integrating AI techniques in proactive fault prediction and resource allocation within complex cloud environments. Traditional cloud computing faces significant challenges, including unpredictable faults and inefficient resource utilization, leading to performance degradation and increased operational costs. By employing cognitive computing principles, this study aims to identify and implement advanced AI methodologies, such as machine learning and predictive analytics, to predict potential failures before they occur and optimize resource allocation dynamically. Through a comprehensive literature review and analysis of case studies, the article highlights successful implementations of these techniques, discusses the implications for cloud service providers, and outlines future research directions in this emerging field. The findings underscore the potential of cognitive cloud computing to transform cloud management by enabling proactive decision-making and enhancing overall system resilience.
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