els for network simulation purposes, Symposium of Electron Devices for Microwave and Optoelectronics Applications, pp. 291-295, Vienna, Australia, 2001. 3. Desurvire, E., Erbium-Doped Fiber Amplifiers: Principles and Applications, s.l.: Wiley, New York, 1994. ISBN-13: 978-0471589778. 4. Lali-Dastjerdi, Z., Rahmani, M. H., and Kroushawi, F., Modeling multi-pumped Raman fiber amplifiers, PhotonicsGlobal@Singapore, IPGC 2008, pp. 1-3, IEEE, Singapore, December 8-11, 2008. 5. Shang, T., Chen, J., Li, X., and Zhou, J., Numerical analysis of Raman amplification and optical signal-to-noise ratio in a photonic crystal fiber, Optics Letters, 4, 446-448 (2006). Appendix E: Space Division Switch Fabric Performance Evaluation E.1 Introduction The scope of this appendix is to carry out a comparison of the performances of different space division switch fabric architectures in the dynamic switching mode. Using the same approach we used for time division bus-based switch fabrics in Chapter 7, we will estimate the saturated throughput, which is the maximum throughput the switch fabric is able to provide. In order to do this, we will use a simulation program simulating a slotted packet switch fabric in the condition in which a packet is always present at every switch fabric input in every slot. Due to the slotted assumption, any time needed for the equipment to synchro- nize asynchronous packets before placing them in the input queue is not comprised in the delay evaluation. The delay is evaluated by assuming that the probability that a packet is present at a certain input of the switch fabric in a certain slot is Pine which is independent of time and equal for all the input ports. In the saturated situations, the offered traffic is Tin = N, where N is the number of input/output ports. In a normal working situation, it is Tin=PinN. In any case, the packets will have all the length of a single slot and when they arrive at a switch fabric input; their output destination is random, with all the output ports having the same probabili