Measurement correlation for improving cooperation in measurement federations

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. In order to ensure that these problems do not occur, service levels need to be monitored. One of the main techniques for this monitoring involves the utilization of active measurement mechanisms. However, such mechanisms are expensive in terms of resources consumption due to the activation of measurement sessions. Thus, such sessions usually can cover only a fraction of what could be measured, which can lead to service level problems being missed. Measurement federations can help network administrators in different tasks, such as the control of 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 which provides measurement correlation. This service can be 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 provides valuable insights regarding measurement correlation from federated measurement points and can be used for the design of better application for the control of active measurement sessions.