TRAFFIC PATTERNS Uniform Traffic the simulator generates uniformly distributed traffic across the network. Uniform-Random Traffic In random traffic, each source is equally likely to send to each destination is the most commonly used traffic pattern in network evaluation. Random traffic is very benign because, by making the traffic uniformly distributed, it balances load even for topologies and routing algorithms that normally have very poor load balance. Multimedia Traffic Throughout the past decade, new multimedia applications emerged, establishing a trend of significant increase in traffic volume. The traffic here is considered only for one application and the design of the hardware is geared solely toward the particular application. Transparent Traffic Traffic here is created with the use of matrix transpose or corner – turn operations. Tornado Traffic Digit permutations (Tornado Traffic) are a similar subset of permutations in which the digits of the destination address are calculated from the digits of the source address. Such permutations apply only to networks in which the terminal addresses can be expressed as n-digit, radix-k numbers, such as k-ary n-cube (torus) networks. The tornado pattern is designed as an adversary for torus topologies, whereas neighbour traffic measures a topology’s ability to exploit locality. Self-similar Traffic Traffic that is bursty on many or all time scales can be described statistically using the notion of self-similarity. Self-similarity is the property we associate with fractals --- the object appears the same regardless of the scale at which it is viewed. In some cases, self-similarity in network traffic can be explained in terms of file system characteristics and user behavior.