Exploring Evolutive Methods for Cloud Provider Selection Based on Performance Indicators

Abstract

The cloud computing model has been spreading around the world and has become a basis for innovation and efficiency on provisioning computational services. This fact inspired the emergence of a large number of new companies providing cloud computing services. In order to qualify such providers, performance indicators (PI) are useful for systematic information collection. Select which providers are the most suitable to each customer's needs and with the desired quality of service, has become a hard problem with the need of robust search methods. Thus, the problem is to find the smallest set of providers that maximize the attendance of a customer's request with and the lowest price. In this paper, two evolutionary algorithms, named Genetic Algorithms (GA) and Binary Differential Evolution (BDE), are modeled to address this problem. Instances with 10, 100, and 200 providers are employed. Results obtained are compared with a deterministic method and show that the BDE approach outperforms GA and the deterministic method.