SMART SPENDING: HARNESSING AI TO OPTIMIZE CLOUD COST MANAGEMENT
Keywords:
Machine Learning, Resource Cost Optimization, Cloud Resource Usage PredictionAbstract
Among SMEs, cloud computing is becoming more popular. Cloud resource optimization is becoming a top concern for many businesses because of the substantial impact that cloud resource costs have on their operations. A lot of people have thought about ways to lower the price of cloud services and optimize cloud computing resources based on actual demand. These optimization strategies often provide unsatisfactory results because real-world cloud workloads are multi-factor, dynamic, and irregular. An innovative method for configuring cloud resources in the most cost-effective way is presented in this article; it makes use of an AI learning algorithm. This comprehensive solution operates in a closed loop, learning the system's use patterns and automatically detecting and avoiding abnormal circumstances without any external supervision or setup. System load and cloud provider price plans are both able to be adjusted by our solution. Data from a real-world system was used to test it on Microsoft's cloud environment, Azure. The results of the experiments show that an 85% decrease in costs was achieved during a 10-month period.
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Copyright (c) 2024 Hemanth Swamy (Author)
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