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Tools for generating Traffic Matrices ===================================== The code provided allows the user to generate two spatiotemporal traffic matrix models: the Modulated Gravity Model (MGM) and the Non-stationary Conditionally Independent Model (NCIM). The scripts for generating the models are as follows: 1. modulated_gravity_model.m: MGM 2. ncim.m: NCIM Note that both requires the generation of truncated normal random variables. We use the Hamiltonian Markov Chain implementation by Ari Pakman. This can be downloaded from https://github.com/aripakman/hmc-tmg The scripts have been commented, so for usage, please use "help <script-name>" Simple Example Script ===================== An example generation of the traffic matrices is given by running simple_traffic_matrix_generator.m. This will produce a series of traffic matrices generated from the MGM, with the parameters specified by the user in the script. See more detailed documentation in the script. These traffic matrices are modulated by a simple sinusoidal with a prescribed mean and peak-to-mean ratio. The script that generates this is called peak_mean_cycle.m. See the help for the script for more details. Abilene Example Script ====================== Another example generation of the traffic matrices is given by running abilene_traffic_matrix_generator.m. This will produce a series of traffic matrices generated from the MGM, with the parameters specified by the user in the script. This time, however, the total traffic is specified from a model fit based on the frequency model (Fourier-based) given by y = Dx + z, where y is Abilene's traffic, D is the Discrete Fourier Transform (DFT) dictionary, and z is a mean zero Gaussian distributed noise. 12 frequencies (including Abilene's mean traffic) were selected from D using an information criterion, the normalised Minimum Description Length (nMDL) criterion. Abilene's traffic starts the 1st of March 2004. Each measurement interval is 5 minutes, and there are a total of 2016 data points (corresponding to one week). Analysis Script =============== Principle Component Analysis (PCA) of the MGM and NCIM is performed in maxent_pca.m. This script generates the results as seen in Section 4.3 of . Detailed documentation is found within the script. The user can adjust the variation parameter \sigma^2. This script requires the Abilene traffic contained in tm_real.mat. Also provided are a script to construct sparse versions of a signal based on the nMDL information criterion. 1. fourier_nmdl.m: constructs a frequency sparse version of the original signal by selecting the optimal number of frequencies, based on the nMDL criterion, and Case Study Script ================= Also provided is the script to generate PoP topologies as seen in Section 5 of . This is performed by running the script GAmaxent_minimax.m The script can generate arbitrary locations within a prescribed region by setting preload_locations = 0 (found on line 50). Otherwise, setting to 1 will use the topology featured in . The script requires the Combined Optimized Layered Design (COLD) algorithm, which can be obtained from https://github.com/rhysbowden/COLD/ The version we require is the minimax version of COLD for traffic matrices, found in the branch COLD_minimax. The script requires computation of the link loads and the Floyd- Warshall algorithm. The implementations provided here were written by Yin Zhang at the University of Texas at Austin. Be sure to compile the files by running mex calc_link_load.c mex floyd_apsp.c before running GAmaxent_minimax.m The default number of PoPs is 12, located in a 10 unit by 10 unit square. The user can change the parameters within the script on lines 53 to 57. Parameters for COLD are varied by modifying the parameters on line 71 to 74. Associated scripts are: 1. clustcoeff.m: Computes the Global Clustering Coefficient, 2. cvnd.m: Computes the Coefficient of Variation of the node degree, 3. diameter.m: Computes the network topology's diameter, 4. link_length.m: Computes the link length, 5. node_degree.m: Computes the node degree of a node, and 6. simple_dijkstra.m: Runs a simple form of Dijkstra's algorithm. Citation ========  Paul Tune and Matthew Roughan, "Spatiotemporal Traffic Matrix Synthesis", ACM SIGCOMM 2015, 17th to 21st August, 2015, London, United Kingdom.