Abstract: Techniques for efficient operation of a linear stage in an H-bridge system are provided. In an example, a linear stage can switch between voltage regulation and current regulation over a range of a command signal. The particular regulation mode can depend on the regulation mode of a switched stage of the H-bridge system. Efficiency can he realized by using current regulation of the linear stage when the output voltage of the linear stage moves away from the voltage of a supply rail. Such a control scheme can reduce the voltage across the linear stage for a larger range of the command signal resulting in less heat dissipation of the linear stage compared to conventional control of H-bridge linear stages.

Abstract: In a network including a plurality of computing resources associated with an enterprise, an identity is established for each of the computing resources in accordance with a decentralized identity management system maintained in accordance with a distributed ledger. The plurality of computing resources is managed in association with the distributed ledger, wherein managing comprises the enterprise posting one or more commands on the distributed ledger to enable one or more of the plurality of computing resources to obtain the one or more commands. In one non-limiting example, the computing resources are part of a geographically distributed IT infrastructure associated with the enterprise.

Abstract: One or more data storage systems are configured to automatically access a data registration service in response to receipt of a data request associated with a storage user of the one or more data storage systems and a profile of an identity associated with the storage user. The identity profile associated with the storage user comprises one or more policies for storage and access of data associated with the storage user.

Abstract: One or more operations (e.g., conditioning and/or curating) are performed on a data set to improve one or more quality attributes of the data set. Information about the one or more operations performed on the data set is stored as metadata and linked to the data set. One or more data quality metrics (e.g., data validity and/or timeliness) are computed from at least a portion of the stored metadata. The one or more computed data quality metrics are utilized to value the data set.

Abstract: A data set is ingested by a data storage system. A valuation is calculated for the data set at the time of ingestion by the data storage system. The calculated valuation is stored. In one illustrative example, the data set is ingested by the data storage system as a data stream such that the valuation calculation step is performed on the data set as the data set streams into the data storage system.

Abstract: At least part of an analytic process is executed on one or more data sets. Execution of the analytic process is performed within an analytic computing environment. During the course of execution of the analytic process, a data structure is generated comprising data structure elements. The data structure elements represent attributes associated with execution of the analytic process. Value is assigned to at least a portion of the data structure elements. The data structure generated during execution of the analytic process may be stored in an accessible catalog of other data structures generated during execution of other analytic processes.

Abstract: A method performed by one or more processing devices that are part of a data storage environment includes the following steps. A data set is obtained. Valuation metadata generated for the data set is obtained. The valuation metadata is bound to the data set. The data set and the bound valuation metadata are processed as a single data storage item within the data storage environment. Processing may include, but is not limited to, storing, scaling, accessing, migrating, and deleting.

Abstract: At least one security incident indicative of at least one security event that may impact or has impacted one or more assets associated with an organization is obtained. A remediation recommendation is automatically generated for the security incident based on one or more of: (i) one or more remediation processes associated with one or more security incidents that precede the at least one security incident in time; and (ii) one or more values attributed to the one or more assets of the organization.

Abstract: A data governance method comprises the following steps. One or more data elements associated with an enterprise are identified as one or more critical data elements. A data structure is maintained for the one or more critical data elements. For a given critical data element, the data structure stores information that reflects an impact that the given critical data element had on at least one event associated with the enterprise. The method predicts a risk associated with a subsequent impact that the given critical data element may have on at least one subsequent event associated with the enterprise, wherein the risk of the subsequent impact is predicted using at least a portion of the information stored in the data structure.

Abstract: In an extended cloud computing environment comprising a plurality of computing resources associated with an enterprise, a method maintains a distributed ledger integrated with a data sharing system, wherein a given node associated with the distributed ledger and a given node associated with the data sharing system are associated with a given one of the plurality of computing resources in the extended cloud computing environment. The method manages one or more data sets processed by the plurality of computing resources in association with the distributed ledger and the data sharing system, wherein managing comprises storing transactions associated with the one or more data sets on the distributed ledger to enable one or more of the plurality of computing resources to access the stored transactions.

Abstract: A data protection ecosystem-based data valuation methodology includes the following steps. One or more of backup data, metadata, and analytics results maintained by a data protection ecosystem are accessed. The backup data, metadata, and analytics results are obtained during the course of the data protection ecosystem providing data backup and recovery functionalities for a data storage environment that stores one or more data sets. A valuation is calculated for at least one of the one or more data sets of the data storage environment based on at least a portion of the accessed backup data, metadata, and analytics results maintained by the data protection ecosystem.

Abstract: Embodiments of the present invention provide an optical system (100) for imaging a retina through a pupil of an eye (10). The optical system (100) comprises an illumination source (120) for providing light to illuminate the eye (10) via an illumination optical system (140). The optical system further comprises an imaging device (130) for outputting image data corresponding to the retina of the eye (10) over a period of time. Said imaging device (130) is arranged to receive reflected light from the eye (10) via an imaging optical system (150). The optical system (100) further comprises a moveably mounted offner relay (110) arranged to direct light received from the illumination optical system (140) to the eye (10) and to direct reflected light from the eye (10) to the imaging optical system (150). Said offner relay (110) is arranged to move to track a location of the pupil.

Abstract: At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.

Abstract: At least one security feed indicative of at least one security event that may impact or has impacted one or more assets associated with an organization is obtained. The at least one security feed is automatically classified as being relevant or not relevant. The at least one security feed is automatically ranked in response to the at least one security feed being classified as relevant. The ranking of the at least one security feed is presented to an entity to make an assessment of the security event.

Abstract: At least one security incident indicative of at least one security event that may impact or has impacted one or more assets associated with an organization is obtained. The at least one security incident is automatically ranked based on one or more of: (i) one or more rankings associated with one or more security incidents that precede the at least one security incident in time; and (ii) one or more values attributed to the one or more assets of the organization. The ranking of the at least one security incident is presented to an entity to make an assessment of the security event.

Abstract: At least one identity for a given entity of a first enterprise is established in accordance with a decentralized identity management system maintained in accordance with a distributed ledger. The identity of the given entity of the first enterprise and a set of attributes relating to the identity are defined by at least one cryptographically signed token file. The cryptographically signed token file is referenced in the distributed ledger enabling a second enterprise to authenticate and/or authorize the given entity in accordance with at least one of the set of attributes.

Abstract: An apparatus in one embodiment comprises one or more processing devices operatively coupled to form a data storage system. The data storage system comprises a data storage manager configured to provide integrated control for a set of logic modules, wherein the set of logic modules comprise at least one blockchain logic module and one or more of a file storage logic module, a block storage logic module, and an object storage logic module. The data storage system further comprises a plurality of storage volumes operatively coupled to the data storage manager and configured to store data associated with each of the set of logic modules, under control of the data storage manager, in accordance with selectable storage capacity allocations for each of the set of logic modules.

Abstract: At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.

Abstract: An apparatus comprises at least one processing device having a processor coupled to a memory. The processing device is configured to implement a first ledger node of a first cloud. The first ledger node of the first cloud is configured to communicate over one or more networks with a plurality of additional ledger nodes associated with respective additional clouds. The first ledger node is further configured to obtain a transaction associated with a cloud-related operational state. The first ledger node is further configured to broadcast the transaction to the additional ledger nodes. A cryptographic block characterizing at least the transaction is generated and entered into a blockchain distributed ledger collectively maintained by the first and additional ledger nodes. The first and additional ledger nodes collectively maintain the blockchain distributed ledger on a peer-to-peer basis without utilizing a centralized transaction authority.