Abstract: The present technology enables identification, visualization, and analysis of data flows via network components in complex enterprise IT environments including but not limited to servers, workstations, switches, routers, wireless access points, traffic shapers, firewalls, storage systems and SAN systems. A method and system provide accessing collected information, filtering network connections from the information, identifying data flows over the filtered network connections, mapping the data flows to network components to find paths, marking the data flows and the network components associated with the paths with attributes, and displaying a networked computer environment including the filtered network connections, and the marked data flows and the marked network components associated with the paths.

Abstract: The present technology enables identification, visualization, and analysis of data flows via network components in complex enterprise IT environments including but not limited to servers, workstations, switches, routers, wireless access points, traffic shapers, firewalls, storage systems and SAN systems. The technology is based on a combination of information collection, information filtering, mapping, grouping, marking, report generation, and verification.

Abstract: A classification system executing on one or more computer systems includes a processor and a memory coupled to the processor. The memory includes a discovery engine configured to navigate through non-volatile memory storage to discover an identity and location of one or more files in one or more computer storage systems by tracing the one or more files from file system mount points through file system objects and to disk objects. A classifier is configured to classify the one or more the files into a classification category. The one or more files are associated with the classification category and stored in at least one data structure. The one or more files are classified using an installed storage driver method. Methods are also provided.

Abstract: The present technology enables identification, visualization, and analysis of data flows via network components in complex enterprise IT environments including but not limited to servers, workstations, switches, routers, wireless access points, traffic shapers, firewalls, storage systems and SAN systems. The technology is based on a combination of information collection, information filtering, mapping, grouping, marking, report generation, and verification.

Abstract: A classification system executing on one or more computer systems includes a processor and a memory coupled to the processor. The memory includes a discovery engine configured to navigate through non-volatile memory storage to discover an identity and location of one or more files in one or more computer storage systems by tracing the one or more files from file system mount points through file system objects and to disk objects. A classifier is configured to classify the one or more the files into a classification category. The one or more files are associated with the classification category and stored in at least one data structure. The one or more files are classified using an installed storage driver method. Methods are also provided.

Abstract: A classification system executing on one or more computer systems includes a processor and a memory coupled to the processor. The memory includes a discovery engine configured to navigate through non-volatile memory storage to discover an identity and location of one or more files in one or more computer storage systems by tracing the one or more files from file system mount points through file system objects and to disk objects. A classifier is configured to classify the one or more the files into a classification category. The one or more files are associated with the classification category and stored in at least one data structure. Methods are also provided.

Abstract: A method, system, computer program product, and computer program storage device for transforming a high-level policy associated with a high layer to a low-level policy associated with a low layer. Mapping between high-level objects in a high layer and low-level objects in a low layer is derived by an automated discovery tool. The high-level policy is mapped to the low-level policy according to the mapping (e.g., by substituting the high-level objects with the low-level objects and by performing a syntax transformation). In one embodiment, a low-level policy is transformed to a high-level policy according to the mapping. As exemplary embodiments, policy transformations in traffic shaping and data retention are disclosed.

Abstract: The present invention provides a way to use flash memory to keep backup copies of the recently modified data. The recently modified data is stored on a local hard drive and replicated (usually with versions) on a local flash drive when the network connectivity does not exist or not sufficient. As soon as the network connectivity is established the accumulated data is sent to the remote CDP server and the whole space of the flash drive can be reused again. As a result, the data is always replicated: one data copy is stored on the hard drive and the other copy is stored (usually with versions) either on a remote server or a local flash drive. Therefore, the combination of the data on the CDP server and the flash drive can be used to reconstruct the data stored on the hard drive.

Abstract: Techniques for unstacking software components are provided. The techniques include discovering a plurality of software components and one or more dependencies between the software components in a computer system, designing a plurality of unstacking options for unstacking said components, and selecting one of said unstacking options to unstack said components.

Abstract: The present invention describes a method and system for preparing a migration and consolidation of at least one source application to be migrated to or consolidated in at least one heterogeneous server device. A computing system selects at least one prospective target platform component based on an evaluation of at least one source platform component, a requirement of the at least one source application, and a compatibility and an affinity of the at least one prospective target platform component. The computing system collects first metadata of the at least one source platform component and the at least one prospective target platform component. The computing system collects second metadata associated with the migration and consolidation. The computing system groups the first metadata and the second metadata into a RFM (Request For Migration). The computing system prepares and configures a final target platform in accordance with the RFM.

Abstract: A classification system executing on one or more computer systems includes a processor and a memory coupled to the processor. The memory includes a discovery engine configured to navigate through non-volatile memory storage to discover an identity and location of one or more files in one or more computer storage systems by tracing the one or more files from file system mount points through file system objects and to disk objects. A classifier is configured to classify the one or more the files into a classification category. The one or more files are associated with the classification category and stored in at least one data structure. Methods are also provided.

Abstract: A method, system, computer program product, and computer program storage device for transforming a high-level policy associated with a high layer to a low-level policy associated with a low layer. Mapping between high-level objects in a high layer and low-level objects in a low layer is derived by an automated discovery tool. The high-level policy is mapped to the low-level policy according to the mapping (e.g., by substituting the high-level objects with the low-level objects and by performing a syntax transformation). In one embodiment, a low-level policy is transformed to a high-level policy according to the mapping. As exemplary embodiments, policy transformations in traffic shaping and data retention are disclosed.

Abstract: A method, system, computer program product, and computer program storage device for transforming a high-level policy associated with a high layer to a low-level policy associated with a low layer. Mapping between high-level objects in a high layer and low-level objects in a low layer is derived by an automated discovery tool. The high-level policy is mapped to the low-level policy according to the mapping (e.g., by substituting the high-level objects with the low-level objects and by performing a syntax transformation). In one embodiment, a low-level policy is transformed to a high-level policy according to the mapping. As exemplary embodiments, policy transformations in traffic shaping and data retention are disclosed.

Abstract: A method, system, computer program product, and computer program storage device for transforming a high-level policy associated with a high layer to a low-level policy associated with a low layer. Mapping between high-level objects in a high layer and low-level objects in a low layer is derived by an automated discovery tool. The high-level policy is mapped to the low-level policy according to the mapping (e.g., by substituting the high-level objects with the low-level objects and by performing a syntax transformation). In one embodiment, a low-level policy is transformed to a high-level policy according to the mapping. As exemplary embodiments, policy transformations in traffic shaping and data retention are disclosed.

Abstract: Techniques for unstacking software components are provided. The techniques include discovering a plurality of software components and one or more dependencies between the software components in a computer system, designing a plurality of unstacking options for unstacking said components, and selecting one of said unstacking options to unstack said components.

Abstract: A system and method for providing reversed backup operation for keeping local hard drives in a stand-by (non-spinning) mode thereby extending the life of local hard drives and reducing power consumption, heat and noise produced by the local drives. The present invention uses remote storage systems as primary storage systems when the network connectivity and its bandwidth are sufficient so that the local hard disk can stay in the stand-by mode. If the network connectivity is unavailable or insufficient to handle the data flow, the local hard disk is spun up and temporarily used as the primary storage for reads and writes. When necessary and possible, the data on both storage locations is synchronized.

Abstract: A method and a system for relating of a value network analysis of a mission to a knowledge base of dependencies of data objects, applications and information technology resources required for achieving of such mission, such method used for optimization of provisioning for information technology resources and for prioritizing of control of data and application security and integrity of such mission.

Abstract: A methodology is presented for discovering and storing end-to-end associations between different types of entities in a system configuration model of a distributed middleware system. First associations are determined, at each distributed system tier, between instances of data and data-container configuration elements. Those first associations point to logical subdivision of a data service that is directly responsible for implementing an instance of data. Second associations are determined, at said each distributed system tier, between said data-container configuration elements and a server infrastructure. Said second associations point to a server infrastructure that hosts said data-container configuration elements. Third associations are composed, within said each distributed system tier, between said instances of data and said server infrastructure, using said first associations and said second associations.