Performance Analysis of Complex Networks and Systems

BookPA

Contents

  • 1. Introduction
  • 2. Random variables
  • 3. Basic distributions
  • 4. Correlation
  • 5. Inequalities
  • 6. Limit laws
  • 7. The Poisson process
  • 8. Renewal theory
  • 9. Discrete time Markov chains
  • 10. Continuous time Markov chains
  • 11. Applications of Markov chains
  • 12. Branching processes
  • 13. General queuing theory
  • 14. Queuing models
  • 15. General characteristics of graphs
  • 16. The shortest path problem
  • 17. Epidemics in networks
  • 18. The efficiency of multicast
  • 19. The hopcount to an anycast group
  • Appendix A. A summary of matrix theory
  • Appendix B. Solutions of problems
  • Bibliography
  • Index

 


Performance Analysis of Communications Networks and Systems

Performance Analysis of Complex Networks and Systems (2014) is a development of Performance Analysis of Communications Networks and Systems (2006).

With the appearance of the 2014 version, the older 2006 book is not printed anymore.