Abstract: The presently claimed invention relates to a system and method for organizing data replicated in a target data repository. The method of the presently claimed invention may receive data from a primary data store for replication in the target data repository. The method may then determine that the received data should be organized and stored according to one or more priority metrics. The method may then organize the received data according to the one or more priority metrics, and store the received data based on the priority metrics. Higher priority data may be stored faster data storage devices or be stored in smaller files where lower priority data may be stored in slower data storage devices or be stored in larger files.

Abstract: In one embodiment, a method includes receiving logfile data, parsing the logfile data into parsed data elements and acquiring at least one contextual data element in relation to the parsed data elements. The method further includes structuring the parsed data elements and the at least one contextual data element as instances of a multirepresentational time-series log entry. In addition, the method includes publishing real-time time-series performance data and determining a user viewing context. Furthermore, the method includes automatically correlating the user viewing context to at least one dimension. Additionally, the method includes filtering the log-entry instances by the at least one dimension to yield filtered log-entry instances. Also, the method includes pivoting the filtered log-entry instances on one or more dimensions, the pivoting yielding pivoted data. In addition, the method includes publishing the pivoted data to a user interface.

Abstract: A network-based solution for processing unknown or unexpected property encountered during a migration or archiving operation may include, as embodied in various systems, methods, and non-transitory computer-readable storage media, accessing a plurality of objects stored in memory of a source computing system. The solution may include performing a discovery assessment on each of a plurality of operator-selected objects. The discovery assessment may include examining a property associated with a document of each selected object and notifying the operator when the examination determines that the property is unknown or unexpected.

Abstract: A full-text index can be created for each mailbox of an EDB to facilitate the performance of complex queries to quickly search for email data. In this way, relevant email data can be identified and retrieved quickly and efficiently from the full-text index rather than from the EDB. To create such indexes, each email in a mailbox can be retrieved and processed to convert the email from its native format into textual name/value pairs which can then be submitted for indexing. This use of name/value pairs to index each email enables the emails across all mailboxes to be efficiently queried using any possible combination of values.

Abstract: Embodiments of the present disclosure include systems and methods for controlling modification of a data file that is accessed by multiple components of an application platform. The method for controlling modification of a data file includes: preparing a link constraint data that includes information of a data file and a component of an application platform, the component being associated with the data file; preparing an alert data that includes information of the data file and a person having a permission to modify the data file; responsive to an attempt of a user to modify the data file, retrieving the information of the component from the link constraint data and the information of the person from the alert data; and sending a notice of the attempt to at least one of the person and the user.

Abstract: Aspects of the present disclosure relate to systems and methods for multi-data source query implementation and aggregation. In embodiments, the query aggregation system comprises a data abstraction engine, a query controller or scheduler and an aggregator. In embodiments, the data abstraction engine normalizes data schemas from multiple data sources based on the parameter requirements. In embodiments, the query controller schedules and runs normalized queries against each data sources independently and securely. In embodiments, the aggregator collects and merges the aggregates of the results into a single analysis. In embodiments, the query aggregation system communicates to various data sources including enterprise data silo(s) and personal data silo(s) to send queries and receive query results. In embodiments, the query sent to each data source may be specialized or tailored for the specific requirement of the data source.

Abstract: In one embodiment, a method is performed by a computer system. The method includes receiving base attribute values of a registrant device. The method further includes determining similarities of the base attribute values to a reference string to yield base similarity values. The method also includes registering the registrant device for policy enforcement using the base similarity values. Furthermore, the method includes, responsive to a trigger, determining target attribute values of a target device. Also, the method includes determining similarities of the target attribute values to the reference string to yield target similarity values. Moreover, the method includes, responsive to the target similarity values satisfying a similarity threshold in relation to the base similarity values, configuring policy enforcement such that the target device is treated as the registrant device.

Abstract: In one embodiment, a method includes receiving a HTTP request from a client device, the HTTP request initiating a user session. The method further includes dispatching the HTTP request to a selected application server of a set of application servers. In addition, the method includes servicing the request. Moreover, the method includes storing stateful information as at least one object in a central object store, wherein each of the at least one object is accessible via a lookup key. Also, the method includes generating a cookie. Further, the method includes encrypting into the cookie each lookup key for the at least one object. In addition, the method includes transmitting a response to the client device, the response comprising the cookie.

Abstract: Simulation data can be generated using a linear curve simplification and reverse simplification technique. The linear curve simplification and reverse simplification technique can facilitate the generation of simulation data from existing data where the simulation data will exhibit the same curve pattern as the existing data but with a degree of variation. In this way, varying sets of simulation data for a particular environment can be easily generated.

Abstract: In one embodiment, a method includes identifying a plurality of period combinations for a metric of interest. Each period combination comprises one or more time periods and each of the one or more time periods comprises one or more segments. The method further includes, for each period combination of the plurality of period combinations and each historical value of a plurality of historical values of the metric of interest, incrementally inserting the historical value into corresponding segments of the one or more time periods. Moreover, the method includes ranking the plurality of period combinations based on comparisons of the plurality of historical values to sets of corresponding predicted values. The method also includes selecting a highest-ranked period combination as best characterizing the metric of interest.

Abstract: Embodiments of the present invention include systems and methods for dynamically adjusting instrumentation scope of a profiler gent. The method for dynamically adjusting an instrumentation scope of a profiler agent includes: supplying an initial instrumentation scope profile (ISP) that defines an instrumentation scope of a profiler agent to the profiler agent; receiving performance data of a call tree from the profiler agent based on the initial ISP; adjusting the instrumentation scope; updating the initial ISP based on the adjusted instrumentation scope; and supplying the updated ISP to the profiler agent. Adjusting the instrumentation scope includes at least one of expanding a child node of the call tree and excluding a child node of the call tree from the instrumentation scope.

Abstract: Aspects of the present invention provide systems and methods that ascertain appropriate time windows for when a task or tasks are best suited to be performed and also for appropriately sizing the number of tasks so that they can be completed within a window or windows. In embodiments, a system for estimating a system resource comprises a component selection system configured to receive a selection of one or more components and/or one or more metrics to be monitored. In embodiments, an analyzer uses at least some of the gathered data to determine one or more resource capacity windows for performing a task or tasks and determines an appropriate job size or sizes for scheduling the tasks to be performed within the one or more resource capacity windows.

Abstract: Systems and techniques for determining a total predicted index fragmentation associated with executing a structured query language statement are described. An execution plan associated with the structured query language statement may be determined. A plurality of tables estimated to be affected by execution of the structured query language statement may be determined. For individual tables, an estimated number of rows that the structured query language statement is to affect may be determined. A predictive model, such as a support vector machine, may be used to determine, for individual tables whose indexes are estimated to be affected, a predicted change in an average index fragmentation percentage associated with individual indexes on the affected tables. The sum of the predicted change in the average index fragmentation percentage of affected indexes may be determined to determine the total predicted index fragmentation associated with executing the structured query language statement.

Abstract: Mechanisms are provided for maintaining variable size deduplication segments using fixed size extents. Variable size segments are identified and maintained in a datastore suitcase. Duplicate segments need not be maintained redundantly but can be managed by updating reference counts associated with the segments in the datastore suitcase. Segments are maintained using fixed size extents. A minor increase in storage overhead removes the need for inefficient recompaction when a segment is removed from the datastore suitcase. Fixed size extents can be reallocated for storage of new segments.

Abstract: In one embodiment, a method includes extracting a cross-platform data-collection schema based, at least in part, on information available via heterogeneous interfaces of a plurality of source platforms. The cross-platform data-collection schema identifies a plurality of collectable data points in relation to particular source platforms. The method further includes configuring a cross-platform data-collection schedule for the plurality of source platforms. The cross-platform data-collection schedule indicates a collected subset of the plurality of collectable data points in relation to collection frequencies. The method also includes causing data values for the collected subset to be collected on an ongoing basis as dictated by the cross-platform data-collection schedule. Furthermore, the method includes processing a proposed change to at least one of the collected subset and the collection frequencies.

Abstract: A system, method, and computer-readable medium for performing a predictive caching operation in which a hit rate is improved by pre executing statements that are predicted based upon previous use patterns. More specifically, by analyzing a stream of statements provided to a server, such as a database server, patterns of usage are detected and based upon these patterns, statements provided to the server are executed before the actual application executes the predicted statements. Thus the application executes faster because the data requested is already cached based upon the predictive execution.

Abstract: In an embodiment, a method is performed by a computer system. The method includes automatically receiving, from an agent on a client device that is physically distinct from the computer system, a cookie corresponding to an active user session on a website. The active user session is previously established on the website in response to the website receiving valid user credentials from the client device. The method also includes storing the cookie in memory. In addition, the method includes, via the cookie, collecting information from the website over the active user session, thereby reusing the active user session. Further, the method includes periodically sending a dummy request comprising the cookie to the website, thereby preserving the active user session.

Abstract: Systems and techniques for determining and displaying risk indicators are described. A set of event logs occurring in a time interval and associated with a user account retrieving may be retrieved from an event log database. For individual event logs in the set of event logs, a context may be determined. A resource associated with the individual log may have an associated classification. An activity risk associated with the individual event log may be determined based at least in part on the first context and, if applicable, on the associated classification. For individual event logs in the set of event logs, a risk indicator may be determined based at least in part on the activity risk. In some cases, a cumulative risk indicator may be determined for the particular time interval based on the risk indicators associated with the individual event logs.

Abstract: Techniques and mechanisms described herein facilitate the transmission of a data stream from a client device to a networked storage system. According to various embodiments, a fingerprint for a data chunk may be identified by applying a hash function to the data chunk via a processor. The data chunk may be determined by parsing a data stream at the client device. A determination may be made as to whether the data chunk is stored in a chunk file repository at the client device. A block map update request message including information for updating a block map may be transmitted to a networked storage system via a network. The block map may identify a designated memory location at which the chunk is stored at the networked storage system.

Abstract: Systems, methods and devices provide efficient data protection by creating backup images of snapshots using the replication capabilities of the data protection system. The snapshots are point-in-time representation of a data set, where the snapshots allows recoverable states of the data set without having to make a complete copy. A snapshot to be backed up is stored in a primary volume. A virtual volume is created, the virtual volume comprising references, such as pointers, to the snapshot data stored in the primary volume. The snapshot data referenced by the virtual volume is then replicated using the replication capabilities of the data protection system. In this manner, the replication of the snapshot does not burden the primary volume that is hosting the snapshot storage.