Abstract
The diversity of services that operate in the Internet has increased significantly in the last years. Performance problems in these services cause important financial losses. To ensure that these problems do not occur, service levels need to be monitored. One of the main techniques for such monitoring involves the use of active measurement mechanisms. However, these mechanisms are expensive in terms of resources consumption due to the activation of measurement sessions. Measurement sessions usually cover only a fraction of what could be measured, which leads to service level problems being missed. Measurement federations can help network administrators in different tasks, such as controlling the activation of active measurement sessions. In this context, measurement correlation can be deployed in order to improve this control in such federations. The main contribution of the present work is the proposal of a data transformation service that provides measurement correlation. This service is used to enable cooperation features in measurement federations, while decreasing resource consumption. Besides that, statistical tests that can be used to compose such correlation are presented. The proposed solution is evaluated using an active measurement dataset from the Brazilian National Research and Education Network (Rede Nacional de Ensino e Pesquisa - RNP). Our results provide insights regarding measurement correlation from federated measurement points and can be used for the design of better application to control active measurement sessions.