Analysis of large-scale distributed information systems

Studies the effects of correlations between the inter-arrival times of different service classes. An analysis of distributed information systems reveals that such inter-class correlations exist, in part as a result of the interactions between the server and its clients. To gain insight into the performance implications of these correlations, we formulate a general stochastic model that explicitly captures client-server interactions, and we derive a matrix analysis of a specific instance of the model. Our results illustrate and quantify the impact that such inter-class correlations can have on system performance