ELASTIC SEARCH USAGE ANALYSIS FOR RESOURCE SCALABILITY IN AWS

Cloud computing has been gaining significant popularity in recent years. Task planning plays a crucial role in optimizing resource usage for cloud service providers and enhancing the customer experience. In this study, tests were conducted using Dotnet and AWS to create a realistic cloud environment. The proposed approach aims to prioritize both client satisfaction and efficient cloud service usage. Customers are required to provide their time and cost preferences for each task assigned to them. The worker, acting as a server, allocates tasks based on resource availability, enabling clients to simultaneously utilize AWS services. The planning algorithm takes into account various job types and resource availability to make informed booking decisions. The primary goal of this cloud methodology is to achieve optimal resource utilization for cloud service providers and deliver a seamless experience for end-users.