Abstract: Availability of a clustered system is determined by identifying all possible states of a cluster, mapping the connections between the states are mapped and determining the probability of the cluster being in each of the states is determined. Availability of the cluster is the sum of the probabilities of being in those states in which the cluster is at least partially available. Parameters affecting the availability of the cluster include the rates at which a cluster transitions from state to state, including the reciprocal of Mean Time To Fail, Mean Time to Fail-Over, Mean Time To Fail-Back and Mean Time To Restore. Availability of statefull and stateless clusters may be determined. Availability of clusters including any number of nodes (e.g., a Internet service) can be determined. In one embodiment of the invention, a target availability is determined and parameters are varied to determine the most efficient approach to reach the target availability.

Abstract: Availability of a clustered system is determined by identifying all possible states of a cluster, mapping the connections between the states are mapped and determining the probability of the cluster being in each of the states is determined. Availability of the cluster is the sum of the probabilities of being in those states in which the cluster is at least partially available. Parameters affecting the availability of the cluster include the rates at which a cluster transitions from state to state, including the reciprocal of Mean Time To Fail, Mean Time to Fail-Over, Mean Time To Fail-Back and Mean Time To Restore. Availability of statefull and stateless clusters may be determined. Availability of clusters including any number of nodes (e.g., a Internet service) can be determined. In one embodiment of the invention, a target availability is determined and parameters are varied to determine the most efficient approach to reach the target availability.

Abstract: Availability of a clustered system is determined by identifying all possible states of a cluster, mapping the connections between the states are mapped and determining the probability of the cluster being in each of the states is determined. Availability of the cluster is the sum of the probabilities of being in those states in which the cluster is at least partially available. Parameters affecting the availability of the cluster include the rates at which a cluster transitions from state to state, including the reciprocal of Mean Time To Fail, Mean Time to Fail-Over, Mean Time To Fail-Back and Mean Time To Restore. Availability of statefull and stateless clusters may be determined. Availability of clusters including any number of nodes (e.g., a Internet service) can be determined. In one embodiment of the invention, a target availability is determined and parameters are varied to determine the most efficient approach to reach the target availability.

Abstract: A method for developing system resource usage "cost" equations, creating models based upon such cost equations, and estimating total system resource usage and computer program product incorporating such cost equations. A server application is analyzed and certain transactions are defined therein that occur in response to interaction with a client application that in many instances originates from user behavior. System resources are also identified and resource usage measurements are determined for each transaction. One way of determining the resource usage measurements is by creating a load of a particular transaction on an "instrumented" server application and measuring the resources used in connection with the transaction. Cost equations for each type of system resource can then be constructed taking a component from each transaction that uses a particular system resource so that the cost equations are defined in terms of transactions.