Dell Products Inc.

Sisir Samanta

Shibi Panikkar

Pratheek Veluswamy

Mahesh Kumar Kancharla

Vamshi Krishna Shenigaram

Ravi Krishna Yammanuru

Debi Prasad Rout

Bhanu Pratap Singh

Methods, apparatus, and processor-readable storage media for processing usage data for remote infrastructure using adjustable execution models are provided herein. An example computer-implemented method includes: obtaining a data structure related to a subscription request for hardware infrastructure provided by a service provider, wherein the data structure is obtained by a processing engine deployed on the hardware infrastructure at a remote location; analyzing the data structure to build an execution model comprising function blocks for processing usage data associated with the hardware infrastructure and one or more instructions to execute the function blocks; processing the usage data for a given time period in accordance with the execution model; providing execution data associated with the plurality of function blocks; and automatically adjusting the execution model for an additional time period using information obtained from the service provider, wherein the obtained information is based at least in part on the execution data.

Adjustable execution models for processing usage data for remote infrastructure

Methods, apparatus, and processor-readable storage media for automated subscription management for remote infrastructure are provided herein. An example computer-implemented method includes obtaining subscription data related to at least one subscription for hardware infrastructure provided by a service provider, wherein the subscription data is obtained by the hardware infrastructure at a remote location; obtaining usage data and deployment data for the hardware infrastructure that is associated with the at least one subscription; processing the subscription data, the usage data and the deployment data using an artificial intelligence-based framework to identify a time period for initiating performance of one or more actions to automatically adjust the at least one subscription, wherein the artificial intelligence-based framework identifies the time period based on historical subscription data related to one or more other subscriptions; and causing the performance of the one or more actions to be initiated within the identified time period.

Automated subscription management for remote infrastructure

Methods, apparatus, and processor-readable storage media for controlling transfer of data based on network bandwidth demand are provided herein. An example method includes obtaining a request to transfer data corresponding to an application by at least one node of a plurality of nodes of a distributed computing system; identifying a category of the data, from among a plurality of categories, to be transferred by the application based on the request; and controlling the transfer of the data based on the identified category, where the controlling includes: causing the at least one node to transfer the data in response to the identified category being a first category of a plurality of categories; and causing the at least one node to at least delay the transfer of the data based on the category being a different category of the plurality of categories and an available network bandwidth of the distributed computing system.

Controlling transfer of data based on network bandwidth demand

Methods, apparatus, and processor-readable storage media for managing transaction consistency in distributed databases are provided herein. An example computer-implemented method includes determining a first one of a plurality of consistency levels to be applied for a transaction in a distributed database comprising a set of database nodes; and in response to determining that the first one of the plurality of consistency levels is to be applied: configuring at least two connections with the distributed database; releasing a first one of the at least two connections in response to detecting that the transaction completed on a first node in the set of database nodes; and in response to one or more of the other database nodes in the set of database nodes being updated to reflect changes on the first database node resulting from the transaction, releasing at least a second one of the at least two connections.

Managing transaction consistency in distributed databases

Infrastructure resource capacity management techniques in an information processing system are disclosed. For example, a method comprises the following steps. Data associated with at least one resource of one or more computing platforms is obtained. Each of the one or more computing platforms is deployed at one or more locations associated with one or more entities. One or more resource expansion trigger threshold values are computed based on at least a portion of the obtained data for each of the one or more computing platforms. A resource expansion operation is initiated for the one or more computing platforms based on the one or more resource expansion trigger threshold values.

Infrastructure resource capacity management with intelligent expansion trigger computation

A method for executing a service sequence, comprising: selecting, by a service orchestrator, a service that is part of the service sequence; detecting, by the service orchestrator, whether a load metric exceeds a threshold; when the load metric does not exceed the threshold, executing the service to obtain a real response, and continuing execution of the service sequence based on the real response; when the load metric exceeds the threshold, identifying, by the service orchestrator, a deviation behavior identifier that is associated with the service, obtaining an estimated response for the service based on the deviation behavior identifier, and continuing execution of the service sequence based on the estimated response.

Smart service orchestrator

A system, method, and computer-readable medium are disclosed for management of a centralized service for transaction handling across multiple processes that sends connections to a parent process that determines the multiple processes that are used to provide data or upgrade to a user database. Reference identifiers are generated for the connections. The reference identifiers are mapped. Connection of the multiple processes is performed using the reference identifiers to the database to provide data or upgrade to the user database. An abort or rollback is received if all of the other processes are not successful in providing the data or upgrading user database. A commit is received if all of the multiple processes are successful in providing the data or upgrading the user database.

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Bengaluru, India

Sisir Samanta