Using Artificial Intelligence to Determine Resource Allocation in Cloud Environments
Keywords:
AI-driven resource allocation, cloud environments, machine learning, workload patternsAbstract
Government applications implemented on cloud platforms in the modern digital-centric environment confront constant expectations for excellent performance, serving citizen needs swiftly and without disruptions, while concurrently ensuring careful use of public money. One major difficulty with cloud systems is optimizing for both cost and performance. Apply the innovative solutions of AI-driven resources the allocation, an intelligent method of traversing this complex area using ML approaches. By use of historical & actual time workload patterns, these algorithms can be precisely project demand peaks & the drops. This foresight allows the flexible reallocations of the resources—escalating to easily fit the peak traffic levels & the shrinking during lulls to avoid the financial waste. The beauty of this system is found in its ability to learn & adapt; it constantly improves its predictions & the changes to ensure that government operations run at their optimal levels in terms of the performance as well as economically.
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