Optimizing Scalability and Performance in Cloud Services: Strategies and Solutions

Abstract

This article aims to discuss the possible approaches on how the cloud service could be optimized in the terms of scalability and performance. The different cloud services create a problem with having many clients to handle at an organization. Based on a literature review and assessment of existing approaches, this paper identifies major scalability issues and improvement strategies in different cloud service models. The research employs data gathering and analysis techniques, such as cloud performance measurement and the test for scalability. The results indicate that cloud implementations based on the different service models include efficient approaches which are accurate in auto scaling, load balance, or resource management. The strategies are compared in the discussion and the strengths and weaknesses of performance and scalability are analysed. In attempting to answer the final research question, the paper founds out growth trends and future developments of cloud optimization.