Abstract: Various embodiments include systems and methods for improving Dynamic Random-Access Memory (DRAM) efficiency and Last Level Cache (LLC) utilization. A computing system may be configured to dynamically adjust DRAM efficiency calculations based on multiple system metrics and conditions (e.g., DDR frequency, density, refresh rates, etc.) for more accurate frequency settings and improved power consumption. The computing system may use a multi-stage approach that includes memory and cache allocation, bandwidth management, and frequency settings. The computing system may fine-tune the DRAM efficiency calculations based on various other factors (e.g., cache miss rates, power consumption, etc.), dynamically modify operational parameters (e.g., DDR frequencies, etc.) in response to specific events or computational tasks, and work in tandem with other system components (e.g., a Last-Level Cache Controller (LLCC), etc.) to improve resource allocation.

Abstract: A database system can configure network devices, such as a primary database in a multi-tenant deployment and a secondary database in a private deployment, to send and receive sequence messages, such as input data indicative of a selection of a link. The database system can create a secure share area in the private deployment in response to receiving the input data indicative of the selection of the link. The database system can replicate the data from the multi-tenant deployment to the secure share area in the private deployment and share the replicated data from the secure share area to the secondary database hosted in the private deployment.

Abstract: A system for sub-table replication within a materialized view of a source data table. A materialized view of a source data table is generated based on a query, the source data table having a plurality of data table rows associated with a plurality of client identifiers and including an entitlements column and data content, the entitlements column including a plurality of provider account identifiers and a plurality of consumer account identifiers. An update to an entitlements table of the source data table is detected where the entitlements table includes a plurality of entitlements table rows and where the entitlements table rows are associated with the client identifiers, the consumer account identifiers, and the provider account identifiers. An update to the source data table based on the first update to the entitlements table is detected, and an incremental replication of the materialized view of the source data table is performed.

Abstract: Embodiments of the present disclosure relate to sharing data using database roles. Database roles are generated within a database container of a provider account. Grants to a particular subset of the plurality of data objects of the database container may be assigned to each of the database roles, and each of the database roles are granted to a share object. The share object is mounted within a consumer account to generate an imported copy of each of the database roles. The imported copy of one or more of the database roles is granted to each of one or more account level roles of the consumer account. When a new object is added to a particular database role, it is immediately available for consumption by any account level roles to which the imported copy of the particular database role has been granted.

Abstract: Various embodiments provide for replicating a share across deployments of a data platform, where the share can be on a source deployment and the share can be replicated on one or more target deployments, and where the share is replicated with one or more database objects of the source deployment associated with the share. Some embodiments analyze the share to be replicated and, based on the analysis, determine one or more database objects that would be replicated to the one or more target deployments to enable a replica of the share on the one or more target deployments.

Abstract: A system for sub-table replication within a materialized view of a source data table. A materialized view of a source data table is generated based on a query, the source data table having a plurality of data table rows associated with a plurality of client identifiers and including an entitlements column and data content, the entitlements column including a plurality of provider account identifiers and a plurality of consumer account identifiers. An update to an entitlements table of the source data table is detected where the entitlements table includes a plurality of entitlements table rows and where the entitlements table rows are associated with the client identifiers, the consumer account identifiers, and the provider account identifiers. An update to the source data table based on the first update to the entitlements table is detected, and an incremental replication of the materialized view of the source data table is performed.

Abstract: Techniques for database replication include a method performed by at least one hardware processor of a resource management node. The method includes detecting a request that a database instance of a database stored at a first network deployment is available at a second network deployment. Responsive to the request, the second network deployment is provisioned with a plurality of data objects. A first data object of the plurality of data objects includes a database shell. The database shell is reconfigured as the database instance of the database based on pushing data of the database into the database shell. Access to the database instance at the second network deployment is authorized based on at least a second data object of the plurality of data objects.

Abstract: Techniques for remote deployment replication using data objects preparation objects include detecting at an account of a data provider at the remote deployment, a replication request for availability of an instance of a primary deployment database to account of a data consumer at the remote deployment. Responsive to the replication request, the account of the data provider at the remote deployment is provisioned with a plurality of data objects associated with the primary deployment database. A refresh operation is invoked using at least one data object of the plurality of data objects at the remote deployment, to generate the instance of the primary deployment database in the account of the data consumer.

Abstract: Provided herein are systems and methods for replicating share objects to remote deployments. An example method includes creating a share object for a first deployment of a data sharing platform. The share object includes share object metadata that describes access privileges in the first deployment. The method also includes creating, in a second deployment of the data sharing platform, a replica of the share object. The replica determines access privileges in the second deployment. The method also includes receiving, at the first deployment, a refresh message from the second deployment. The method also includes, in response to receiving the refresh message, transmitting the share object metadata from the first deployment to the second deployment and updating, by a processing device, the replica based on the share object metadata.

Abstract: Embodiments of the present disclosure relate to sharing data using database roles. Database roles are generated within a database container of a provider account. Grants to a particular subset of the plurality of data objects of the database container may be assigned to each of the database roles, and each of the database roles are granted to a share object. The share object is mounted within a consumer account to generate an imported copy of each of the database roles. The imported copy of one or more of the database roles is granted to each of one or more account level roles of the consumer account. When a new object is added to a particular database role, it is immediately available for consumption by any account level roles to which the imported copy of the particular database role has been granted.

Abstract: Systems, methods and computer-readable mediums may be used in portable computing devices (PCDs) for dynamically allocating system resources in a way that prevents or lessens degradation of power and performance KPIs while also avoiding temperature increases in the PCD that can create unpleasant user experiences. A smart resource allocation framework (SRAF) is triggered when a call is received or placed. Once triggered, the SRAF framework monitors a preselected set of state conditions to determine whether or not to place the wireless modem in a modem power-performance (Mod. Pow.-Perf) mode. If it determines that modem is to be placed in the Mod. Pow.-Perf. mode, a Mod. Pow.-Perf. process is performed dynamically allocates system resources and preferably also triggers a thermal framework that performs power reduction in one or more non-modem processing cores.

Abstract: Techniques for database replication for a remote deployment include a method performed by a data platform executing instructions on at least one hardware processor. The method includes detecting receipt of a database replication request associated with a data consumer. The database replication request is requesting availability of an instance of a primary deployment database at a remote deployment of a data platform. In response to detecting the receipt of the database replication request, an account of a data provider at the remote deployment of the data platform is provisioned with a set of replication-preparation objects associated with the primary deployment database. A database refresh operation is invoked, causing database data be pushed from the primary deployment database to a database shell in the account of the data provider at the remote deployment, to create the instance of the primary deployment database.

Abstract: Techniques for database replication using replication preparation objects include storing, by at least one hardware processor, at least one task object at a remote deployment of a data provider. A replication request originating from an account of a data consumer is detected at the remote deployment using the at least one task object. The replication request is associated with a database available at a primary deployment of the data provider. Responsive to the detecting of the replication request, a local instance of the database is generated at the remote deployment. The account of the data consumer at the remote deployment is configured to access the local instance of the database.

Abstract: Provided herein are systems and methods for replicating share objects to remote deployments. An example method includes generating, at a second deployment in a data exchange, a replica of a share object included in a first deployment of the data exchange. The share object grants privileges to a first account to access a first database of the first deployment, wherein the first database comprises a database object. The method also includes retrieving, at the first deployment, share grant metadata from the share object of the first deployment, wherein the share grant metadata includes a reference to the database object and allows the first account to use the database object. The method also includes transmitting a message comprising the share grant metadata to the replica in the second deployment. The share grant metadata in the replica allows a second account to use the database object replicated in the second deployment.

Abstract: Providing runtime power profile tuning based on eye state in processor-based Extended Reality (XR) devices is disclosed herein. In this regard, in some exemplary aspects, a processor of a processor-based XR device is configured to apply a default power profile, and detect, using an eye blink detection circuit, an eye close event of a user of the processor-based XR device. In response to detecting the eye close event, the processor selects a test power profile from a plurality of power profiles and applies the test power profile. The processor then measures an operating characteristic of the processor-based XR device and compares the operating characteristic with a corresponding reference range. Based on the comparing, the processor updates one or more power profiles of the plurality of power profiles.

Abstract: Aspects of the present disclosure relate to systems and methods for improving performance of a partial cache collapse by a processing device. Certain embodiments provide a method for performing a partial cache collapse procedure, the method including: counting a number of cache lines that satisfy an eviction criteria based on a deterministic cache eviction policy in each cache way of a group of cache ways; selecting at least one cache way from the group for collapse, based on its corresponding number of cache lines that satisfy the eviction criteria; and performing the partial cache collapse procedure based on the at least one cache way selected from the group for collapse.

Abstract: Systems, methods and computer-readable mediums may be used in portable computing devices (PCDs) for dynamically allocating system resources in a way that prevents or lessens degradation of power and performance KPIs while also avoiding temperature increases in the PCD that can create unpleasant user experiences. A smart resource allocation framework (SRAF) is triggered when a call is received or placed. Once triggered, the SRAF framework monitors a preselected set of state conditions to determine whether or not to place the wireless modem in a modem power-performance (Mod. Pow.-Perf) mode. If it determines that modem is to be placed in the Mod. Pow.-Perf. mode, a Mod. Pow.-Perf. process is performed dynamically allocates system resources and preferably also triggers a thermal framework that performs power reduction in one or more non-modem processing cores.

Abstract: A database system can configure network devices, such as a primary database in a multi-tenant deployment and a secondary database in a private deployment, to send and receive sequence messages, such as input data indicative of a selection of a link. The database system can create a secure share area in the private deployment in response to receiving the input data indicative of the selection of the link. The database system can replicate the data from the multi-tenant deployment to the secure share area in the private deployment and share the replicated data from the secure share area to the secondary database hosted in the private deployment.

Abstract: A method of implementing sub-table replication starts with the processor detecting an update to an entitlements table. The processor performs filtering of a data table based on the update to the entitlements table. The data table including an entitlements column. The processor detects an update to the entitlements column and performs incremental replication of the data table by causing a version-based replication to be executed. Other embodiments are also described herein.

Abstract: Embodiments of the present disclosure relate to sharing data using database roles. Database roles are generated within a database container of a provider account. Grants to a particular subset of the plurality of data objects of the database container may be assigned to each of the database roles, and each of the database roles are granted to a share object. The share object is mounted within a consumer account to generate an imported copy of each of the database roles. The imported copy of one or more of the database roles is granted to each of one or more account level roles of the consumer account. When a new object is added to a particular database role, it is immediately available for consumption by any account level roles to which the imported copy of the particular database role has been granted.