| | 1 | == OverSim and Churn == |
| | 2 | OverSim uses churn generators for simulating non-static networks. The different churn generators simulate different user behaviour and can be configured individually. |
| | 3 | |
| | 4 | === Churn Generators === |
| | 5 | * '''NoChurn''' (will be added in the next release) |
| | 6 | * Node behaviour: No churn. Nodes will be added until targetOverlayTerminalNum is reached; after that, the network will remain static. |
| | 7 | * Parameters: None |
| | 8 | * '''RandomChurn''' |
| | 9 | * Node behaviour: In fixed intervalls a random number is drawn. Depending on this number, a random node is either added, deleted or migrated. |
| | 10 | * Parameters: |
| | 11 | * targetMobilityDelay: Timespan in seconds between two actions. |
| | 12 | * creationProbability, migrationProbability, removalProbability: Changes the probability of the actions taken when a number is drawn. Example: ''creationProbability=0.5, removalProbability=0.5, migrationProbability=0''. In this case, every ''targetMobilityDelay'' seconds a node is added or removed with a probability of 50%. Other example: ''creationProbability=0.6, removalProbability=0.4, migrationProbability=0''. In this example, nodes are created with a probability of 60% and removed with a probability of 40%. This will result in a constantly growing network. |
| | 13 | * Notes: This churn generator can be used to simulate static networks if all probabilities are set to 0. |
| | 14 | * '''LifetimeChurn''' |
| | 15 | * Node behaviour: On creation of a node, his lifetime will be drawn randomly from a given probability function. When this time is reached, the node is removed. A new node will be created after a ''dead time'' drawn from the same probability function. |
| | 16 | * Parameters: |
| | 17 | * lifetimeMean: The mean lifetime. |
| | 18 | * lifetimeDistName: The function used for drawing the lifetimes (default: weibull) |
| | 19 | * '''ParetoChurn''' |
| | 20 | * Node behaviour: Similar to LifetimeChurn, a node's lifetime is drawn on creation. However, this is done in a two-stepped process. For details, please read ''Yao, Z.; Leonard, D.; Wang, X. & Loguinov, D. "Modeling Heterogeneous User Churn and Local Resilience of Unstructured P2P Networks" Proceedings of the 2006 14th IEEE International Conference on Network Protocols, 2006. ICNP '06. 2006, pp. 32--41'' |
| | 21 | * Parameters: |
| | 22 | * lifetimeMean: The mean lifetime. |
| | 23 | * deadtimeMean: The mean deadtime. |
| | 24 | * Notes: This churn generator results in heavy tailed session times similar to empirical results from P2P filesharing networks or MMOGs. |
