Abstract: Systems, methods, and computer program products are provided for selective processing of file system objects for an image level backup. An example method receives backup parameters for an image level backup. The backup parameters include a selection of at least one file system object to include. The method attaches to a source disk as a block device. The source disk corresponds to the selected at least one file system object, and a file system includes a file allocation table (FAT). The method determines file system objects of the source disk to be excluded from the image level backup. The method issues file deletion API calls to initiate deletion of the determined file system objects. The method stores FAT content change caused by the issued file deletion API calls. The method creates a reconstructed disk image from the source disk based on the stored FAT content change.

Abstract: A method for mass-deleting a plurality of data records from a database system includes creating a data structure that includes an identifier of each of the plurality of data records to be deleted and inserting a pointer to the data structure into a transaction log of the database system.

Abstract: A computer system includes a processor. The processor is configured to provide a documented screenshot and a machine-executable indication of steps which generated the documented screenshot as contained in documentation. The processor also will execute the steps which generated the documented screenshot, to generate a current screenshot. The processor also will compare the documented screenshot as contained in the documentation to the current screenshot generated by executing the steps, to provide a determination whether the comparison shows differences between the documented screenshot and the current screenshot. A method according to the above will detect changes to a screenshot used in documentation. A non-transitory computer-readable medium can perform a method to detect changes to a screenshot used in documentation.

Abstract: An method and system for handling service interdependencies in an ontology-based emergent environment that prompts service partners to provide both service type information and service parameters through a partner-portal so that the registered services can be classified into ontologies which allow parameters and rules to be associated with each registered service. The ontology modification information is generated by identifying an interdependency, manifesting the interdependency, generating new rules and parameters, and adding the new rules and parameters to the relevant service categories within the ontology database. The service partners are asked about these new parameters when registering a service.

Abstract: In certain example embodiments, a system is configured to check consistency between a first computer-represented graphical model and a second computer-represented graphical model. The system includes a data storage device and at least one processor that is incorporated into or accessible to a server. The data storage device includes or stores model correlation information, e.g., in a mapping table form. The model correlation information is configured to define at least one relationship type between the first model and the second model. The model correlation information includes a mapping of objects of the first model to objects of the second model at creation time of the model correlation information. The processor is configured to perform a model consistency check procedure that uses the model correlation information including the relationship type to ascertain an inconsistency between extant versions of the first model and the second model.

Abstract: A method and system is disclosed for providing continued of streaming content to a mobile device in a distributed wireless network. This includes receiving user location data; receiving user movement history data; receiving user profile data; determining a predicted coverage area based on the user location data and at least one of: the user movement history data and the user profile data; receiving static coverage data for the predicted coverage area; receiving dynamic signal data for the predicted coverage area; determining a predicted probability of network failure in the predicted coverage area based on the static coverage data and the dynamic signal data; determining if the predicted probability exceeds a set threshold value; retrieving desirable data for the predicted coverage area if the predicted probability exceeds a threshold; and storing the desirable data in a computer memory in the mobile device if the predicted probability exceeds the threshold.

Abstract: Certain example embodiments relate to techniques for creating/updating a computerized model usable with an enterprise modeling platform. The computerized model is defined with a first modeling language. An image of a hand-drawn model existing on a physical substrate and following rules of a second modeling language is acquired. Multi-level image processing is performed on the image, the different levels corresponding to recognitions of (a) structures in the image corresponding to objects in the hand-drawn model, (b) object types for the identified structures, (c) text associated with the identified structures, and (d) connections between at least some of the identified structures. A digitized, iteratively-reviewed version of the hand-drawn model is generated and transformed into the computerized model using rules defining relationships between elements in the different modeling languages.

Abstract: Disclosed herein are system, method, and computer program product embodiments for virtual machine (VM) backup from a storage snapshot. An embodiment operates by receiving selective backup parameters including a VM to backup and then creating a VM snapshot associated with the VM. Next, an offset table associated with a virtual disk of the VM stored on a storage is retrieved. The embodiment further includes generating a storage snapshot and deleting the VM snapshot and then promoting the storage snapshot to a new logical unit number. The promoted storage snapshot is then mounted to the backups server. The virtual disk data is backed up to a backup storage using the offset table from the storage snapshot. The storage snapshot is dismounted from the backup server and deleted from the storage.

Abstract: A connection handler is provided on a computing system. The connection handler provides an application with heterogeneous connection objects. Heterogeneous internal connection pools provide homogeneous connection objects related to a specific configuration. Requests are received from the application where the request includes an identification of a specifically configured connection object. A connection object is provided to the application from a respective internal connection pool.

Abstract: Certain example embodiments address issues associated with erroneous events produced in Complex Event Processing (CEP) applications. An error handler is controlled to at least: receive, via an event bus, events from external input event sources; receive, via the event bus, error events from an application configured to process events received from the event bus, and to provide to the event bus results obtained from processing received events, and error events corresponding to errors detected at its input and/or processing layer(s); generate, for a given error, an error analysis event and an error impact event by executing a CEP query on at least a corresponding received error event; and provide to the event bus generated error analysis events and generated error impact events. Error analysis events describe for administrators detailed information analyzing corresponding errors. Error impact events describe for business users impacts corresponding errors have for their business user applications.

Abstract: The technology relates to techniques for the attachment of priorities and/or reaction time limits to various entities of a system such as, for example, events, event types, queries, etc. The system's processing may be tailored behavior to match these boundary conditions while at the same time increasing (and sometimes even maximizing) the rate of events processed. Advantageously, the system may be made to adapt its behavior to the current situation, which is changeable and may even be changing quite frequently, e.g., as in connection with a potentially rapidly changing stream. Users may, for example, specify policies to control this adaptation and, thus, events (including events of special interest) may be handled appropriately, even in response to changing conditions.

Abstract: Certain example embodiments relate to an event-based system configured for self-monitoring. The event-based system includes a complex event processing (CEP) engine for consuming and producing events in accordance with at least one continuous query. The CEP engine in turn includes a first continuous query for producing events of a first event type and for consuming the events of the first event type. The CEP engine also is configured to detect performance issues based on the first continuous query.

Abstract: A method and system for staging in a cloud environment defines a default stage for integration flows. An integration flow is defined by (a) stages including (i) a live stage to follow the default stage, (ii) additional stages between the default and live stages, and (b) endpoint definitions for the live and additional stages. In response to an instruction to promote the integration flow, the integration flow is load balanced by allocating each stage to execution environment(s). Then, the integration flow is run in the execution environment(s). The load balancing includes, for each stage, (i) retrieving a list of execution environments which are available for execution of stages, (ii) selecting execution environment(s) on which to execute the stage and updating the list of available execution environments to indicate that the selected execution environment(s) is allocated, and (iii) storing the selected execution environment(s) as specific to the stage.

Abstract: Certain example embodiments described herein relate to techniques for scaling processing systems. For instance, in certain example embodiments, a scaling master receives a user-specified scaling and/or alerting query. The scaling and/or alerting query is transmitted to scaling agents at respective ones of the processing elements, the transmission using the connection layer. Each of the scaling agents executes the at least one scaling and/or alerting query. Each of the scaling agents reports a result of the executing to the scaling master using the connection layer. The scaling master forms a scaling decision based on the result reported by each of the scaling agents.

Abstract: A provisioned node, which is to be added into a distributed memory network, creates an empty provisioned key/value map. A master node, which is an existing node, in the distributed memory network, maintains existing key/value entries in an existing key/value map. An update cycle is performed, which includes receiving, by the master node and the provisioned node, one or more changes to the existing key/value entries. For any change that is a remove operation, the provisioned node stores a key specified in the remove operation in a tombstone set, and further removes the specified key from the provisioned key/value map. For any change that is a put operation of a specified key/value pair, the provisioned node puts the key/value pair in the provisioned key/value map.

Abstract: Systems, methods, and computer program products are provided for reducing the size of image level backups. An example method receives backup parameters identifying a physical or Virtual Machine (VM) to backup and at least one file system object to include in the backup. The method connects to production storage corresponding to the selected physical or virtual machine and obtains access to data stored in disk corresponding to the selected file system object(s). The method fetches file allocation table (FAT) blocks from the disk and parses contents of the FAT blocks to determine if the disk blocks correspond to the selected file system object(s). The method creates a backup disk image FAT comprising blocks corresponding to the selected file system object(s). The method creates a reconstructed disk image FAT blocks corresponding to the backup FAT and disk image data blocks belonging to the selected file system object(s) and all other disk image data blocks are saved as zero blocks.

Abstract: A computer system, a computer-readable non-transitory medium, and/or a computer-implemented method generates analytics applicable to data of an undetermined structure and type. A processor device receives data formatted in an undetermined structure. The processor device discovers, in a cross filter model processor, dynamically in response to receiving the data in the undetermined structure, a structure and a data type of the data which was received in the undetermined structure. The processor device determines, in response to the structure and the data type of the data discovered by the cross filter model processor, which of a plurality of analytic queries are applicable to the data.

Abstract: Certain example embodiments described herein relate to techniques for observing an internal state of a software application executing in a runtime environment. For instance, certain example embodiments include traversing a structure of multiple live data objects in the executing software application; generating a graph of shadow data objects based on the traversing, with each shadow data object of the graph corresponding to a live data object of the executing software application; and providing access to the generated shadow graph via a user interface.

Abstract: Certain example embodiments provide efficient policy-based access to data stored in memory tiers, including volatile local in-process (L1) cache memory of an application and at least one managed (e.g., non-volatile) in-memory (L2) cache. Operations include receiving an access request for access to a data element in L2; detecting whether a copy of the data element is in L1; if so, copying the data element and the access policy from L2 to L1 and providing the user with access to the copy of data element from L1 if the access policy allows access to the user; and if not, determining, by referring to a copy of the access policy stored in L1, whether the user is allowed to access the data element, and, if the user is allowed to access the data element, providing the user with access to the copy of the data element from the L1 cache memory.

Abstract: Certain example embodiments relate to techniques for recovering registry information and recreating the entire registry for all available tenants in a scalable, multi-tenant distributed environment, while also potentially looking into all of the running services where the most up-to-date data could exist. Dynamic real-time or substantially real-time recreation of connections between a web application and the latest instance of a tenant in such an environment (e.g., following a failure of one of the databases holding the tenant data, a corruption of the registry entry pointing to the tenant, and/or the like) is made possibly by, for instance, comparing the timestamps of the last written entities in order to examine the most current data and “re-bundle” the last master/replication instances, e.g., for restores in an environment where a rolling failover procedure is implemented.