In this work, the relations between data envelopment analysis and queuing models are proposed. Via our new approach, some drawbacks of the previously methods for large scale computer networks are rectified. Meanwhile the proposed method is also defined for fuzzy queuing models. The major goal of our new aspect is the relation between DEA and queuing system which has been rarely noticed by researchers. Also, we want to show that how DEA can increase the overall efficiency in any system. Our main aim is the capability and the usage of DEA even in queuing system. The objectives of the work are to: Defining a technique for evaluating the operational efficiency of large-scale computer networks via data envelopment analysis and queuing models. Determining an approach for evaluation of efficiency in fuzzy queuing models with publicity and renouncement.