Abstract: Provided are a computer program product, system, and method for determining an optimal storage environment for data sets and for migrating data sets. Metadata for each application indicates storage pools used by the application to store data sets, wherein each storage pool is configured in one of a plurality of storage environments using different organization schemes to store data sets. The metadata for at least one application indicates storage pools to store the data sets for the application that are allocated from different storage environments. The metadata for an application is processed to determine a data set for the application stored in a first storage pool implemented in a first storage environment that should be stored in a second storage environment. The determined data set from the first storage pool to a second storage pool implemented in the second storage environment.

Abstract: A method, apparatus, system, and computer program product for deduplicating data. Data is stored by a computer system in storage domains in a storage system. Deduplication is performed by the computer system within each storage domain in the storage domains using a hash table that includes entries for all of the storage domains. Cross-deduplication between the storage domains is avoided in the storage system.

Abstract: Backup schedule optimization is provided. Data describing a first backup schedule for a first backup server is identified. Performance metric data and workload data for a first backup server and a second backup server is collected. If a count of backup windows represented by workload data for the first backup server exceeds a data collection threshold, an updated backup schedule that offloads a pending job from the first backup server to the second backup server can be generated. The updated backup schedule is generated if a maximum average I/O threshold for the first backup server was exceeded while a minimum average I/O threshold for the second backup server was deceeded. The maximum and minimum average I/O thresholds are calculated based on respective target average I/O rates for the first and second backup servers, the target average I/O rates derived from respective perform metric data.

Abstract: A method and associated systems for optimized orchestration of a data-migration project. A data-migration orchestration system represents a hierarchical organization of each dataset to be migrated as a tree, where each leaf node of the tree represents data to be migrated and where a path between the leaf node and the root node represents a hierarchical directory pathname of sensitive data represented by the leaf node. Each tree is assigned a sensitivity signature that is proportional to the relative sensitivity and access frequency of the dataset represented by that tree. The signatures are organized into clusters as a function of the distances between each signature, and each signature is associated with a soft migration cost specific to that signature's cluster. A soft cost for migrating an application that requires multiple datasets may be determined by adding the migration costs associated with each of the multiple datasets.

Abstract: A method for detecting ransomware. A set of control files in a set of locations in a file system is checked, by a computer system, in response to an event, wherein the set of control files has a set of extensions targeted by the ransomware. In response to detecting a change in any of the set of control files, a file copying process for the file system is disabled by the computer system.

Abstract: A method, apparatus, system, and computer program product for dynamically directing data in a deduplication backup system. A computer system identifies a data type for the data. The computer system determines whether the data is suitable for deduplication in the deduplication backup system based on the data type identified for the data and a policy. The computer system directs the data to a deduplication storage pool responsive to the data having the data type that is suitable for deduplication, reducing storage usage issues for backing up the data in the computer system.

Abstract: A method, apparatus, system, and computer program product for deduplicating data. Data is stored by a computer system in storage domains in a storage system. Deduplication is performed by the computer system within each storage domain in the storage domains using a hash table that includes entries for all of the storage domains. Cross-deduplication between the storage domains is avoided in the storage system.

Abstract: A method and associated systems for backing up a target computer application that comprises identifying and backing up databases and other information repositories upon which the target application depends. The target application is identified and related to a backup requirement that specifies a minimum application-backup frequency. The application's “dependencies” are automatically identified from sources that include configuration files, where each dependency identifies one or more databases or other information repositories that store information upon which the application directly or indirectly depends. If any of these databases or repositories is associated with a backup frequency less than the application's minimum backup frequency, the database or repository is flagged. Each flagged entity's backup schedule is then revised so that the flagged entity's backup frequency is equal to or greater than the application's minimum backup frequency.

Abstract: Embodiments of the present invention provide methods, program products, and systems for determining an amount of usable storage in a backup environment. Embodiments of the present invention can be used to receive system information pertaining to a storage backup environment. Embodiments of the present invention can calculate a compression ratio of the storage on a backup server and a backup ratio between an amount of data on a client computer system and an amount of data on the backup server and calculate an average amount of storage consumed on the backup server. Embodiments of the present invention can determine an existing backup capacity for the storage backup environment by identifying an amount representing the actual capacity of data capable of being stored on the backup server and reducing the amount representing the actual capacity according to the calculated average amount of storage consumed on the backup server.

Abstract: Provided are a computer program product, system, and method for determining an optimal storage environment for data sets and for migrating data sets. Metadata for each application indicates storage pools used by the application to store data sets, wherein each storage pool is configured in one of a plurality of storage environments using different organization schemes to store data sets. The metadata for at least one application indicates storage pools to store the data sets for the application that are allocated from different storage environments. The metadata for an application is processed to determine a data set for the application stored in a first storage pool implemented in a first storage environment that should be stored in a second storage environment. The determined data set from the first storage pool to a second storage pool implemented in the second storage environment.

Abstract: A method, apparatus, system, and computer program product for dynamically directing data in a deduplication backup system. A computer system identifies a data type for the data. The computer system determines whether the data is suitable for deduplication in the deduplication backup system based on the data type identified for the data and a policy. The computer system directs the data to a deduplication storage pool responsive to the data having the data type that is suitable for deduplication, reducing storage usage issues for backing up the data in the computer system.

Abstract: A method and associated systems for optimized orchestration of a data-migration project. A data-migration orchestration system represents a hierarchical organization of each dataset to be migrated as a tree, where each leaf node of the tree represents data to be migrated and where a path between the leaf node and the root node represents a hierarchical directory pathname of sensitive data represented by the leaf node. Each tree is assigned a sensitivity signature that is proportional to the relative sensitivity and access frequency of the dataset represented by that tree. The signatures are organized into clusters as a function of the distances between each signature, and each signature is associated with a soft migration cost specific to that signature's cluster. A soft cost for migrating an application that requires multiple datasets may be determined by adding the migration costs associated with each of the multiple datasets.

Abstract: A method and associated systems for optimized orchestration of a data-migration project. A data-migration orchestration system represents a hierarchical organization of each dataset to be migrated as a tree, where each leaf node of the tree represents data to be migrated and where a path between the leaf node and the root node represents a hierarchical directory pathname of sensitive data represented by the leaf node. Each tree is assigned a sensitivity signature that is proportional to the relative sensitivity and access frequency of the dataset represented by that tree. The signatures are organized into clusters as a function of the distances between each signature, and each signature is associated with a soft migration cost specific to that signature's cluster. A soft cost for migrating an application that requires multiple datasets may be determined by adding the migration costs associated with each of the multiple datasets.

Abstract: A method for detecting ransomware. A set of control files in a set of locations in a file system is checked, by a computer system, in response to an event, wherein the set of control files has a set of extensions targeted by the ransomware. In response to detecting a change in any of the set of control files, a file copying process for the file system is disabled by the computer system.

Abstract: Backup schedule optimization is provided. Backup environment data is identified. Data describing a first backup schedule is identified. Performance metric data that includes data for a data storage array of computer data storage device(s) of a backup server is collected. Data describing backup log(s) that associated with jobs backed up to the data storage array and respectively executed during backup window(s) is received. A target average I/O rate is determined based on the performance metric data of the data storage array. A second backup schedule is generated based on the target average I/O rate, average I/O rate(s) of the data storage array, the backup environment data, and the data describing one or more backup logs. A start time of a job is scheduled in the second backup schedule for a different time in a backup window compared to a start time of the job in the first backup schedule.

Abstract: A method, computer system and computer program product for managing tapes storing a backup for a node. The method identifies the node for which a current set of tapes is present. The method determines whether the current set of tapes exceeds a threshold for undesired fragmentation for the node and moves data in the current set of tapes to a new set of tapes when a physical tape count exceeds the threshold for undesired fragmentation, wherein the data is more contiguous in the new set of tapes than the current set of tapes.

Abstract: A method for scheduling one or more backup jobs among backup clients with a common backup window. The method includes collecting and recording historical information pertaining to the backup clients with the common backup window. An application then estimates the number of open files during the common backup window based on the historical information and infers an impact of skipping a backup of the open files during the common backup window, where the impact is inferred from the historical information according to one or more predetermined criteria. The estimated number of open files and the inferred impact of skipping the backup of the estimated number of open files during the common backup window are then combined according to a predetermined cost function. The order of the backup jobs for the backup clients during the common backup window is then scheduled to reduce the predetermined cost function.

Abstract: Embodiments of the present invention provide methods, program products, and systems for determining an amount of usable storage in a backup environment. Embodiments of the present invention can be used to receive system information pertaining to a storage backup environment. Embodiments of the present invention can calculate a compression ratio of the storage on a backup server and a backup ratio between an amount of data on a client computer system and an amount of data on the backup server and calculate an average amount of storage consumed on the backup server. Embodiments of the present invention can determine an existing backup capacity for the storage backup environment by identifying an amount representing the actual capacity of data capable of being stored on the backup server and reducing the amount representing the actual capacity according to the calculated average amount of storage consumed on the backup server.

Abstract: Backup schedule optimization is provided. Data describing a first backup schedule for a first backup server is identified. Performance metric data and workload data for a first backup server and a second backup server is collected. If a count of backup windows represented by workload data for the first backup server exceeds a data collection threshold, an updated backup schedule that offloads a pending job from the first backup server to the second backup server can be generated. The updated backup schedule is generated if a maximum average I/O threshold for the first backup server was exceeded while a minimum average I/O threshold for the second backup server was deceeded. The maximum and minimum average I/O thresholds are calculated based on respective target average I/O rates for the first and second backup servers, the target average I/O rates derived from respective perform metric data.

Abstract: Embodiments of the present invention provide methods, program products, and systems for determining an amount of usable storage in a backup environment. Embodiments of the present invention can be used to receive system information pertaining to a storage backup environment. Embodiments of the present invention can calculate a compression ratio of the storage on a backup server and a backup ratio between an amount of data on a client computer system and an amount of data on the backup server and calculate an average amount of storage consumed on the backup server. Embodiments of the present invention can determine an existing backup capacity for the storage backup environment by identifying an amount representing the actual capacity of data capable of being stored on the backup server and reducing the amount representing the actual capacity according to the calculated average amount of storage consumed on the backup server.