Abstract: Disaster recovery for a storage system is provided. A data record is generated for a primary computing system that identifies a secondary computing system and indicates a first storage device that includes block storage and a second storage device that includes object storage. The primary computing system experiences either a migration or a failover. Storage space is provisioned in block storage and object storage. Data records from the primary computing device are respectively stored in either the block storage or the object storage based on their respective access rates. Data records that are stored as block storage entries are predicted to have a higher access rates than data records that are stored as object storage entries.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a snapshot utility for generating a snapshot of an erasure coded object in an object storage environment. Responsive to receiving a request to generate a snapshot of an erasure coded (EC) object in a filesystem in the object storage environment, the snapshot utility obtains a list of EC fragments from a proxy layer of the object storage environment. The snapshot utility copies a number of the EC fragments to generate the snapshot of the EC object.

Abstract: Disaster recovery for a storage system is provided. A data record is generated for a primary computing system that identifies a secondary computing system and indicates a first storage device that includes block storage and a second storage device that includes object storage. The primary computing system experiences either a migration or a failover. Storage space is provisioned in block storage and object storage. Data records from the primary computing device are respectively stored in either the block storage or the object storage based on their respective access rates. Data records that are stored as block storage entries are predicted to have a higher access rates than data records that are stored as object storage entries.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a snapshot utility for generating a snapshot of an erasure coded object in an object storage environment. Responsive to receiving a request to generate a snapshot of an erasure coded (EC) object in a filesystem in the object storage environment, the snapshot utility obtains a list of EC fragments from a proxy layer of the object storage environment. The snapshot utility copies a number of the EC fragments to generate the snapshot of the EC object.

Abstract: A first storlet engine is monitored for a first computational algorithm. The storlet engine includes a lookup table including a first characteristic of one or more nodes, a parser unit, and a resource availability monitor. The first computational algorithm is parsed into an abstract syntax tree using a parser unit. A first category of the first computational algorithm is determined by analyzing the abstract syntax tree. A first node of the lookup table with the first characteristic matching the first category for processing the first computational algorithm is identified based on the first category of the computational algorithm. The first computational algorithm is sent to the first node for processing.

Abstract: A first storlet engine is monitored for a first computational algorithm. The storlet engine includes a lookup table including a first characteristic of one or more nodes, a parser unit, and a resource availability monitor. The first computational algorithm is parsed into an abstract syntax tree using a parser unit. A first category of the first computational algorithm is determined by analyzing the abstract syntax tree. A first node of the lookup table with the first characteristic matching the first category for processing the first computational algorithm is identified based on the first category of the computational algorithm. The first computational algorithm is sent to the first node for processing.

Abstract: A method for optimizing duplication of disk sector architecture in a heterogeneous cloud systems environment, is provided. The method includes identifying a file system platform and name space for tracking a plurality of disk, of the disk sector architecture. The method further includes configuring a systems framework, of the identified file system platform, for collecting information of the plurality of disk assigned to the file systems platform. The method further includes equipping the file system platform and a monitoring system with learning or knowledge based engines to identify workload types for utilizing the file system platform and the named space to identify health of multiple platters of the plurality of disk assigned to the file systems platform. The method further includes calculating duplication data of sectors of the plurality of disks of the identified workload types, based on the sectors of disks.