Abstract: An approach is provided for determining disaster recovery capacity. A simulation hypervisor receives streaming metric data, which represents the current production workload of a primary site, from the primary site. The metric data is combined with production data of the backup site by the simulation hypervisor to simulate a recovery event. Using data from the simulating, disaster recovery planning can be performed.

Abstract: An approach is provided for determining disaster recovery capacity. A simulation hypervisor receives streaming metric data, which represents the current production workload of a primary site, from the primary site. The metric data is combined with production data of the backup site by the simulation hypervisor to simulate a recovery event. Using data from the simulating, disaster recovery planning can be performed.

Abstract: An approach is provided for determining disaster recovery capacity. A simulation hypervisor receives streaming metric data, which represents the current production workload of a primary site, from the primary site. The metric data is combined with production data of the backup site by the simulation hypervisor to simulate a recovery event. Using data from the simulating, disaster recovery planning can be performed.

Abstract: An approach is provided for determining disaster recovery capacity. A simulation hypervisor receives streaming metric data, which represents the current production workload of a primary site, from the primary site. The metric data is combined with production data of the backup site by the simulation hypervisor to simulate a recovery event. Using data from the simulating, disaster recovery planning can be performed.

Abstract: Generally speaking, systems, methods and media for managing an application usage metering system are disclosed. Embodiments of the method may include initiating discovery agents for one or more server resources and interrogating by the discovery agents the one or more server resources to discover a plurality of discrete server processes and associated discovery data for each process. Embodiments may also include collecting discovery data for the discovered discrete server processes in a centralized repository and mapping one or more of the processes to an application and a customer based on the collected discovery data. Further embodiments may also include performing an administrative function based on the mapped discrete server processes, such as generating a customer bill, generating a report based on the mapped discrete server processes, assigning a customer to a process, or changing a status of a discrete server process.

Abstract: Generally speaking, systems, methods and media for managing an application usage metering system are disclosed. Embodiments of the method may include initiating discovery agents for one or more server resources and interrogating by the discovery agents the one or more server resources to discover a plurality of discrete server processes and associated discovery data for each process. Embodiments may also include collecting discovery data for the discovered discrete server processes in a centralized repository and mapping one or more of the processes to an application and a customer based on the collected discovery data. Further embodiments may also include performing an administrative function based on the mapped discrete server processes, such as generating a customer bill, generating a report based on the mapped discrete server processes, assigning a customer to a process, or changing a status of a discrete server process.

Abstract: The disclosure describes a system to permit communication between two dissimilar networks that involves an interface system. More particularly, it is an interface system to permit communication between a MAP network that is utilizing common application service elements (CASE) and a network of non-MAP computer equipment. The interface system that is described establishes a connection between the two networks which involves a process of decoding data from one network into predetermined component parts, and then encoding the component parts into data for transfer to computer equipment in the other network, and then, releasing the connection when the data transfer is completed, in accordance with the State Table of FIG. 3 of the drawings.