This paper proposes the development of research related to the elasticity of cloud computing environment, such elasticity will be effected by means of computational agents. The computational agents will be responsible for collecting the use of real-time computing resources and the demand for the use of these resources. The reconfiguration will be performed using the information collected by monitoring agents and applied by a supporting staff following a few concepts of autonomic computing. Moreover, historical demand (workloads) and performance can be used to predict a future reconfiguration of the infrastructure. In traditional infrastructure, all configuration and management of the computing environment are performed by professionals in Information Technology (IT). As use case will be considered a traditional infrastructure for Web Services in which all configuration and management of the computing environment are usually performed by professionals in Information Technology (IT). Thus, the objective of this work is to automate some tasks and allow the professional to engage in more critical tasks or priority at any given time in the organization, allowing all the configuration and management of computing infrastructure can be done automatically. To be able to achieve this goal, will be a literature review and studies that allow self-management of computational resources and promote the elasticity of the virtualized infrastructure.
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