Abstract: Described herein is a system and method for detecting and reusing overlapping computations. Overlapping subgraphs of the query are determined using a normalized signature for a particular subgraph that identifies a particular subgraph across recurring instances of data. A normalized signature for each overlapping subgraph for the determined overlapping subgraphs of the query is provided. For each overlapping subgraph determined to be materialized: whether or not the particular subgraph has been materialized is determined using a precise signature corresponding to a normalized signature of the particular overlapping subgraph. The precise signature identifies a particular subgraph corresponding to the normalized signature within a particular recurring instance of data. When the particular subgraph has not been materialized, the subgraph is materialized and used to respond to the query. When the particular subgraph has been materialized, the materialized subgraph is used to respond to the query.

Abstract: Embodiments of the present disclosure relate to a method an apparatus and a computer program product for constructing a scalable storage device by constructing the scalable storage device by combining a plurality of modularized building blocks; wherein each modularized building block in the plurality of modularized building blocks comprises a magnetic disk enclosure; and at least one modularized building block in the plurality of modularized building blocks comprises a storage processor, the storage processor comprising an input output processing unit; forming a cluster using the input output processing unit in the at least one modularized building block; and processing, using the cluster, an input or output (I/O) request from a host and metadata service.

Abstract: Described herein is a system and method for detecting and reusing overlapping computations. Overlapping subgraphs of the query are determined using a normalized signature for a particular subgraph that identifies a particular subgraph across recurring instances of data. A normalized signature for each overlapping subgraph for the determined overlapping subgraphs of the query is provided. For each overlapping subgraph determined to be materialized: whether or not the particular subgraph has been materialized is determined using a precise signature corresponding to a normalized signature of the particular overlapping subgraph. The precise signature identifies a particular subgraph corresponding to the normalized signature within a particular recurring instance of data. When the particular subgraph has not been materialized, the subgraph is materialized and used to respond to the query. When the particular subgraph has been materialized, the materialized subgraph is used to respond to the query.

Abstract: A computer implemented method, a computer program product, and a system for automated virtual storage pools within a software-defined storage comprising: receiving a set of physical storage resources that is enabled to have different storage capabilities; receiving a set of applications, wherein each application of the set of applications is enabled to require different storage capabilities; finding most frequently preferred storage capabilities requirements from capabilities of the set of applications; identifying a number of virtual storage pools based on the set of applications; and clustering at least some of the set of physical storage resources into the number of identified virtual storage pools.

Abstract: In one aspect, a method includes performing a reconfiguration process to reconfigure storage usage. The reconfiguration process includes selecting a subset of solutions from a user-shaped solution space, determining a cost value of each solution in the subset using a cost function, executing a cost-based reconfiguration generation based on a customized genetic process where each reconfiguration solution is treated as a genome, selecting genomes using the cost function as a next generation and repeating the executing.

Abstract: Embodiments of the present disclosure relate to a method an apparatus and a computer program product for constructing a scalable storage device by constructing the scalable storage device by combining a plurality of modularized building blocks; wherein each modularized building block in the plurality of modularized building blocks comprises a magnetic disk enclosure; and at least one modularized building block in the plurality of modularized building blocks comprises a storage processor, the storage processor comprising an input output processing unit; forming a cluster using the input output processing unit in the at least one modularized building block; and processing, using the cluster, an input or output (I/O) request from a host and metadata service.