TRAMMS aims to increase the insight in the nature of the data traffic in today's and tomorrow's IP networks. In order to cope with emerging applications, the architecture of the underlying networks must be laid out with deep knowledge of the applications that are used and the traffic that will be flowing through the networks.

Main focus

The idea behind the concept of a converged infrastructure is that a single network should support (in principle) all applications. It will have to carry traffic from different terminals and a great variety of applications. Traditionally, lack of knowledge regarding traffic patterns in multi-service IP networks has been compensated by massive over-provisioning of resources in order to decrease the likelihood of QoS violations. Understanding the user traffic patterns and how they aggregate on different levels will imply a competitive advantage when deploying broadband networks and applications since the investment costs will be lower.

The main objective of TRAMMS is to model traffic in multi-service IP networks, and to use the models as input for capacity planning of tomorrow's networks. The models will be built upon data acquired with advanced traffic measurements on the application level with deep packet/ deep flow inspection in different parts of Europe, combined with bottleneck analysis and interdomain routing analysis.

Our public reports are available on the Results page