Probabilistic models for computer networks: Tools and solved problems overviews the main probabilistic tools and theory used in the performance analysis and modelling of modern computer networks and communication systems. With over one hundred examples and solved problems, the reader will be introduced to Poisson processes, Markov chains and queueing theory in an intuitive manner. Important theorems and tools are followed by easy network-based examples, showing the reader their applicability in real scenarios. This book is highly recommended for students in their final years of a degree in engineering, and for Ph.D. students willing to strengthen their skills in the evaluation of network performance.