Service Level Agreement -Driven Dynamic Resource Provisioning Strategy for Cloud Computing

Cloud computing offers a wide range of services over the internet, delivering computing resources such as software on demand, processing power, and storage. This helps businesses lower infrastructure costs and improve flexibility by efficiently scaling resources. Popular cloud services include Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. However, these cloud services manage vast amounts of data, which must be handled carefully to provide consistent service to customers. Current methods have failed to consistently meet customer needs due to the complexity of managing such large datasets. To address this issue, the Service Level Agreement-Driven Dynamic Resource Provisioning Strategy (SLA-DRS) is proposed to enhance service consistency in cloud computing. This method aims to provide an optimal solution for delivering high service quality to customers consistently. The performance of the SLA-DRS algorithm is evaluated based on Total Energy Consumption (w-s) and Percentage of SLA violations (%). Compared to existing methods, the proposed model achieves lower energy consumption requirements of 20,000, 15,000, 10,000, 10,000, and 20,000, with SLA violations of 30%, 40%, 30%, 20%, and 40%, respectively.