Self-Optimization of Clustered Message-Oriented Middleware

Today´s entreprise-level applications are often built as an assembly of distributed components that provide the basic services required by the application logic. As the scale of these applications increases, coarse-grained components will need be decoupled and will use message-based communication, often helped by message-oriented middleware or MOMs. In the Java world, a standardized interface exists for MOMs: Java messaging service or JMS. And like other middleware, some JMS implementations use clustering techniques to provide some level of performance and fault- tolerance. One such implementation is JORAM, which is open-source and hosted by the ObjectWeb consortium. The full version of this paper intends to describe performance modeling of various clustering configurations and validate our model with performance evaluation in a real- life cluster. In doing that, we observed that the resource- efficiency of the clustering methods can be very poor due to local instabilities and/or global load variations.