ISO-Cloud: An Intelligent System for Optimizing the Overall Income in Cloud Providers

Nowadays, cloud systems are increasing their role as cost-effective solutions to deploy applications and services for a wide spectrum of companies and business models. Hence, properly designing and configuring the key parts of the cloud, such as the data center, the collection of offered VMs, and the SLAs, among others, is crucial to obtain the expected income. The main difficulty of this task lies in analyzing and studying the high number of inter-related parameters required to provide a proper cloud configuration. In this work, we focus on the impact of SLAs configuration on the global income, and we propose ISO-Cloud, an Intelligent System for optimizing the overall income of cloud providers, which uses simulation techniques to analyze how the different configurations of SLAs impact the obtained profits. Thus, ISO-Cloud automatically creates different cloud scenarios for certain cloud architecture and, then, potential SLAs configurations to improve the obtained profits are investigated. A thorough experimental evaluation is presented, which shows promising results. In this case, ISO-Cloud significantly improves the overall income in three different SLAs provided by an expert.