Network Availability Prediction
The Network Availability Prediction program enables users to predict the availability and reliability of communication networks. The Network Availability Prediction network block diagram model utilizes an extended Reliability Block Diagram (RBD) methodology that addresses the specific characteristics of network elements and their connections.
Benefits of using Network Availability Prediction
Complex or simple networks may be modeled using Network Availability Prediction. Network elements may be logically modeled right down to part level using the powerful Network Availability Prediction pagination facility. Individual network element diagrams have been extended beyond traditional RBDs to allow users to model multiple interfaces and their interactions with common equipment
Network Availability Prediction will then automatically determine the allowable paths between a source and target, and hence determine the minimal cut sets that determine the availability of the network.
Network Availability Prediction provides many time-saving features to allow users to quickly construct the network diagram. These include a parts library facility that allows users to import their parts data in convenient groupings, a network element library facility that allows users to construct common network element diagrams and a fully interactive network diagram construction facility
Features of Network Availability Prediction
Network Availability Prediction recognizes the failure logic of the network from the network diagram entered by the user. The diagram represents how individual network element failures interact with other network element failures to prevent data flow between source and target nodes in the network.. Read More…
The Network Availability Prediction library facility allows users to construct a custom library of parts and alternative parts lists using a hierarchical structure. Users may then drag and drop parts into a network element or network block diagram. Read More…