context_edge_t edge_data = NULL;
edge_data = xbt_new0(s_context_edge_t, 1);
edge_data->id = ++last_link_id;
+ edge_data->length = platf_node_distance(node1, node2);
edge_data->labeled = FALSE;
xbt_graph_new_edge(platform_graph, node1, node2, (void*)edge_data);
}
}
}
+void platf_graph_interconnect_waxman(double alpha, double beta) {
+ /* Create a topology where the probability follows the model of Waxman
+ * (see Waxman, Routing of Multipoint Connections, IEEE J. on Selected Areas in Comm., 1988)
+ *
+ * Number of edges increases with alpha
+ * edge length heterogeneity increases with beta
+ */
+ xbt_dynar_t dynar_nodes = NULL;
+ xbt_node_t first_node = NULL;
+ xbt_node_t second_node = NULL;
+ unsigned int i,j;
+ double L = sqrt(2.0); /* L = c*sqrt(2); c=side of placement square */
+ dynar_nodes = xbt_graph_get_nodes(platform_graph);
+ xbt_dynar_foreach(dynar_nodes, i, first_node) {
+ xbt_dynar_foreach(dynar_nodes, j, second_node) {
+ if(j>=i)
+ break;
+ double d = platf_node_distance(first_node, second_node);
+ if(RngStream_RandU01(rng_stream) < alpha*exp(-d/(L*beta))) {
+ platf_node_connect(first_node, second_node);
+ }
+ }
+ }
+}
+
+void platf_graph_interconnect_zegura(double alpha, double beta, double r) {
+ /* Create a topology where the probability follows the model of Zegura
+ * (see Zegura, Calvert, Donahoo, A quantitative comparison of graph-based models
+ * for Internet topology, IEEE/ACM Transactions on Networking, 1997.)
+ *
+ * alpha : Probability of connexion for short edges
+ * beta : Probability of connexion for long edges
+ * r : Limit between long and short edges (between 0 and sqrt(2) since nodes are placed on the unit square)
+ */
+ xbt_dynar_t dynar_nodes = NULL;
+ xbt_node_t first_node = NULL;
+ xbt_node_t second_node = NULL;
+ unsigned int i,j;
+ dynar_nodes = xbt_graph_get_nodes(platform_graph);
+ xbt_dynar_foreach(dynar_nodes, i, first_node) {
+ xbt_dynar_foreach(dynar_nodes, j, second_node) {
+ if(j>=i)
+ break;
+ double d = platf_node_distance(first_node, second_node);
+ double proba = d < r ? alpha : beta;
+ if(RngStream_RandU01(rng_stream) < proba) {
+ platf_node_connect(first_node, second_node);
+ }
+ }
+ }
+}
+
+void platf_graph_interconnect_barabasi(void) {
+ /* Create a topology constructed according to the Barabasi-Albert algorithm (follows power laws)
+ (see Barabasi and Albert, Emergence of scaling in random networks, Science 1999, num 59, p509-512.) */
+ xbt_dynar_t dynar_nodes = NULL;
+ xbt_node_t first_node = NULL;
+ xbt_node_t second_node = NULL;
+ context_node_t node_data = NULL;
+ unsigned int i,j;
+ unsigned long sum = 0;
+ dynar_nodes = xbt_graph_get_nodes(platform_graph);
+ xbt_dynar_foreach(dynar_nodes, i, first_node) {
+ xbt_dynar_foreach(dynar_nodes, j, second_node) {
+ if(j>=i)
+ break;
+ node_data = xbt_graph_node_get_data(second_node);
+ if(sum==0 || RngStream_RandU01(rng_stream) < ((double)(node_data->degree)/ (double)sum)) {
+ platf_node_connect(first_node, second_node);
+ sum += 2;
+ }
+ }
+ }
+}
+
void platf_graph_promote_to_host(context_node_t node, sg_platf_host_cbarg_t parameters) {
node->kind = HOST;
memcpy(&(node->host_parameters), parameters, sizeof(s_sg_platf_host_cbarg_t));