
The book presents some key mathematical tools for the performance analysis of communication networks and computer systems.Communication networks and computer systems have become extremely complex. The statistical resource sharing induced by the random behavior of users and the underlying protocols and algorithms may affect Quality of Service.This book introduces the main results of queuing theory that are useful for analyzing the performance of these systems. These mathematical tools are key to the development of robust dimensioning rules and engineering methods. A number of examples illustrate their practical interest.
Markov theory, traffic models, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Performance evaluation, queuing theory, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
Markov theory, traffic models, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Performance evaluation, queuing theory, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
