Abstract: Systems and methods described herein relate to the real-time verification of data purges. A first subprocess of a data purging process is executed to purge a plurality of data items. A system accesses purge result data providing an indication of a result of the first subprocess. The system determines, based on the purge result data, that the first subprocess was not executed in accordance with a purge policy associated with the data purging process. In response to determining that the first subprocess was not executed in accordance with the purge policy, the system adjusts a state of the data purging process. A second subprocess of the data purging process is then executed according to the adjusted state.

Abstract: Systems and methods described herein relate to the prediction of effects of data purging on data sources that are related through hierarchical data relationships. A purge request comprises a set of purge parameters that identify a data source and define one or more purge criteria for purging of data items of the data source. A plurality of impacted data sources is identified based on one or more hierarchical data relationships held by the data items of the data source. The impacted data sources include the data source and one or more additional data sources. The purge parameters are provided to a machine learning model to obtain output indicative of a predicted effect of execution of the purge request on the impacted data sources. The predicted effect is caused to be presented at the user device prior to the execution of the purge request.

Abstract: Systems and methods described herein relate to the real-time verification of data purges. A first subprocess of a data purging process is executed to purge a plurality of data items. A system accesses purge result data providing an indication of a result of the first subprocess. The system determines, based on the purge result data, that the first subprocess was not executed in accordance with a purge policy associated with the data purging process. In response to determining that the first subprocess was not executed in accordance with the purge policy, the system adjusts a state of the data purging process. A second subprocess of the data purging process is then executed according to the adjusted state.

Abstract: Systems and methods described herein relate to the efficient handling of data purge requests in the context of a distributed storage system. A plurality of data purge requests is stored in a first data structure. The data purge requests may be grouped into batches that are processed at least partially in parallel. A first data purge request from the plurality of data purge requests is successfully processed, and is moved from the first data structure to a second data structure. Processing of a second data purge request from the plurality of data purge requests is unsuccessful. The second data purge request is retained in the first data structure. Purge status data is generated based on the first data purge request being in the second data structure and the second data purge request being in the first data structure. The purge status data may be presented at a user device.

Abstract: Systems and methods described herein relate to the efficient handling of data purge requests in the context of a distributed storage system. A plurality of data purge requests is stored in a first data structure. The data purge requests may be grouped into batches that are processed at least partially in parallel. A first data purge request from the plurality of data purge requests is successfully processed, and is moved from the first data structure to a second data structure. Processing of a second data purge request from the plurality of data purge requests is unsuccessful. The second data purge request is retained in the first data structure. Purge status data is generated based on the first data purge request being in the second data structure and the second data purge request being in the first data structure. The purge status data may be presented at a user device.

Abstract: A master device transmits beacon messages to a plurality of slave devices. The beacon messages specify upstream time slots, downstream time slots, and contention-based time slots. To register a respective slave device with the master device, the respective slave device transmits an association request to the master device during a contention-based time slot and receives an association response from the master device during a first downstream time slot. In response to receiving the association response, the respective slave device transmits an authentication request to the master device during an upstream time slot and receives an authentication response from the master device during a second downstream time slot.

Abstract: A master device transmits beacon messages to a plurality of slave devices. The beacon messages specify upstream time slots, downstream time slots, and contention-based time slots. To register a respective slave device with the master device, the respective slave device transmits an association request to the master device during a contention-based time slot and receives an association response from the master device during a first downstream time slot. In response to receiving the association response, the respective slave device transmits an authentication request to the master device during an upstream time slot and receives an authentication response from the master device during a second downstream time slot.