Abstract: A method and system for provenance-based data backups. Specifically, the method and system disclosed herein entail generating and, subsequently, using data provenance to filter which collections of data, produced through the data mining of big data, should be replicated and stored in backup storage.

Abstract: Systems and methods for automatically configuring security groups during data protection operations including disaster recovery operations. In preparation for recovering a source site to a target site, security information at the source site is collected and classified. The classified security information is stored as a disaster recovery plan at least for security aspects of the disaster recovery process. The disaster recovery plan can be implemented at the target site such that security risks are minimized and connectivity errors are minimized during the recovery process.

Abstract: Systems and methods for automated disaster recovery of discrete virtual machines. Virtual machines can be discretely tested for disaster recovery or other data protection operations. To perform these types of data protection operations, a single virtual machine or a set of virtual machines is migrated to a target site and the migrated virtual machines are replaced with dummy virtual machines at the source site. The dummy virtual machines replicate communicates. This allows the migrated virtual machines to be tested in the context of disaster recovery to a target site such as the cloud.

Abstract: One example method includes receiving input concerning a boot order sequence, where the input includes VM metadata, entering a training phase which includes generating a boot sequence rule based on the input, using the boot sequence rule to generate a proposed boot sequence, performing the proposed boot sequence, and gathering information concerning performance of the proposed boot sequence. The gathered information can be used as a basis to generate a modified boot sequence.

Abstract: One example method includes receiving data segments that are not already part of a full disk image of a backup, storing the data segments in storage, determining whether or not an aggregate total of data segments in the storage, that are not already part of a full disk image of a backup, equals or exceeds a threshold, when the aggregate total of data segments in the storage equals or exceeds the threshold, creating a full disk image of a backup that includes the data segments in storage, and storing the created full disk image of the backup to a recovery disk.

Abstract: One example method includes chunking a respective disk of each of a plurality of virtual machines (VM) to create a respective plurality of chunks associated with each of the VMs, creating, based on the chunking process, a cluster comprising one or more of the VMs, creating a VM template whose data and disk structure match respective data and disk structures of each of the VMs in the cluster, and in response to a file operation involving a first one of the VM disks, defragmenting the first VM disk so that a disk structure of the first VM disk is the same as a disk structure of the VM template.

Abstract: One example includes performing a VM restore instance type discovery process, creating a test VM with a VM restore instance type matching a VM restore instance type identified during discovery, using the test VM to create a test restore VM at a cloud storage site, restoring the test VM at the cloud storage site using the test restore VM, generating a 4-D baseline vector based on the restoration of the test VM, the 4-D baseline vector identifying a particular VM restore instance type, generating a 5-D vector based on the 4-D baseline vector, ranking the 5-D vector relative to other 5-D vectors, the 5-D vectors identifying the same production site VM, and restoring, at the cloud storage site, the production site VM identified in the 5-D vectors, the production site VM restored at the cloud storage site has a VM restore instance type identified in the highest ranked 5-D vector.

Abstract: Optimizing synchronization of enterprise content management systems is described. A system identifies multiple synchronization intervals corresponding to multiple synchronization tasks. The system estimates multiple execution times corresponding to the multiple synchronization tasks. The system calculates multiple remaining times corresponding to the multiple synchronization tasks, wherein the multiple remaining times are based on the multiple synchronization intervals corresponding to the multiple synchronization tasks minus the multiple execution times corresponding to the multiple synchronization tasks. The system orders the multiple synchronization tasks for execution based on corresponding multiple remaining times, from a lowest remaining time to a highest remaining time.

Abstract: Systems and methods for automatically generating a boot sequence. A multiple virtual machine computing environment is analyzed to generate a boot sequence that is used during a recovery operation. The boot sequence may be based on applications and application types running on the virtual machines, a network configuration and network traffic, and on manual boots of virtual machines. The boot sequence prioritizes the order in which the virtual machines are booted in the recovery site.

Abstract: Automatic network configuration for the recovery of virtual machines. A network configuration can be automatically provisioned by discovering the network topology of a source site and then matching the virtual machines to their locations or subnets in the network topology. The network is then implemented on a target site such that the required connectivity is present in the recovered target site even when the infrastructure of the source site and the target site are different.

Abstract: A system and method is illustrated for providing information related to a task in a case management system configured to process a plurality of cases. The system and method includes identifying among the plurality of cases case clusters, for a case cluster of the case clusters, identifying task clusters, wherein each of task cluster is associated with a task similarity factor shared by at least two tasks of the task cluster, and tasks of the task clusters are performed on cases of the case cluster, analyzing reports and documents used to perform the at least two tasks of the task cluster sharing the task similarity factor, and when performing a task sharing the task similarity factor with the at least two tasks, providing at least one report based on the reports and at least one summary based on the documents.

Abstract: Projecting resource allocations to achieve specified application operation times in a virtually provisioned environment is described. A system identifies a time period associated with an average of application operation times. The system calculates a resource ratio based on a resource allocated to a number of application operations associated with the time period divided by the number of application operations associated with the time period. The system calculates a projected resource allocation based on a projected number of application operations multiplied by the resource ratio. The system outputs the projected resource allocation to assist in resource management.

Abstract: Optimizing synchronization of enterprise content management systems is described. A system identifies multiple synchronization intervals corresponding to multiple synchronization tasks. The system estimates multiple execution times corresponding to the multiple synchronization tasks. The system calculates multiple remaining times corresponding to the multiple synchronization tasks, wherein the multiple remaining times are based on the multiple synchronization intervals corresponding to the multiple synchronization tasks minus the multiple execution times corresponding to the multiple synchronization tasks. The system orders the multiple synchronization tasks for execution based on corresponding multiple remaining times, from a lowest remaining time to a highest remaining time.

Abstract: Optimizing synchronization of enterprise content management systems is described. A system identifies multiple synchronization intervals corresponding to multiple synchronization tasks. The system estimates multiple execution times corresponding to the multiple synchronization tasks. The system calculates multiple remaining times corresponding to the multiple synchronization tasks, wherein the multiple remaining times are based on the multiple synchronization intervals corresponding to the multiple synchronization tasks minus the multiple execution times corresponding to the multiple synchronization tasks. The system orders the multiple synchronization tasks for execution based on corresponding multiple remaining times, from a lowest remaining time to a highest remaining time.

Abstract: A system and method is illustrated for providing information related to a task in a case management system configured to process a plurality of cases. The system and method includes identifying among the plurality of cases case clusters, for a case cluster of the case clusters, identifying task clusters, wherein each of task cluster is associated with a task similarity factor shared by at least two tasks of the task cluster, and tasks of the task clusters are performed on cases of the case cluster, analyzing reports and documents used to perform the at least two tasks of the task cluster sharing the task similarity factor, and when performing a task sharing the task similarity factor with the at least two tasks, providing at least one report based on the reports and at least one summary based on the documents.

Abstract: A system and method is illustrated for providing information related to a task in a case management system configured to process a plurality of cases. The system and method includes identifying among the plurality of cases case clusters, for a case cluster of the case clusters, identifying task clusters, wherein each of task cluster is associated with a task similarity factor shared by at least two tasks of the task cluster, and tasks of the task clusters are performed on cases of the case cluster, analyzing reports and documents used to perform the at least two tasks of the task cluster sharing the task similarity factor, and when performing a task sharing the task similarity factor with the at least two tasks, providing at least one report based on the reports and at least one summary based on the documents.

Abstract: Tracking changes to application model definitions for application model migration is described. A combined history file is created based on changes associated with application model definition files. A first property for a first model definition file of the application model definition files is identified that depends on a second property for a second model definition file of the application model definition files. A change for the second property is identified based on the combined history file. A transformation file is constructed that includes a change for the first property based on the change for the second property.

Abstract: Adjustments for application underachievement in a virtually provisioned environment are described. If an average of application operation times exceeds a first time constraint, a utilization measurement is recorded for each resource for each server in a virtually provisioned environment associated with an application operation when an application operation time exceeds a second time constraint. The resources include a central processing unit resource, a memory resource, a network resource, and/or an input-output resource. Each utilization measurement is converted to a corresponding utilization range of multiple utilization ranges.

Abstract: A method for automatically provisioning a virtual computing environment comprising a plurality of virtual computing nodes includes provisioning a virtual base node using base configuration information that includes a base endpoint that identifies interconnectivity parameters required to communicate with the virtual base node, and storing the base endpoint in an endpoint registry. The method further includes determining that a virtual first node depends on the virtual base node, and receiving the base endpoint from the endpoint registry. Thereafter, the virtual first node is provisioned using the received base endpoint and first configuration information for the virtual first node.

Abstract: Calculating costs of application operations in a virtually provisioned environment is described. Servers are identified that support application operations associated with executing an application, based on a configuration file. A count of each type of application operation currently executing and a resource utilization associated with each of the servers are recorded. A set of linear equations is created if the resource utilization is recorded on the number of occasions that equals the number of application operation types. Each linear equation equates a sum of a count of each type of application operation recorded as executing during an occasion with the resource utilization recorded on the occasion. The set of linear equations is solved to estimate and output resource costs of each individual type of application operation to assist in resource management.