Abstract: Aspects of data management are described. During an update procedure for serially updating a cluster of storage nodes, a storage node of the cluster of storage nodes may enter a quiescent state. While in the quiescent state, the storage node may refrain from obtaining new jobs and may continue to execute jobs that were initiated at the storage node prior to entering the quiescent state. The storage node may enter the quiescent state while another storage node enters an update state for installing the update version. The storage node may also post, to a job queue, jobs running at the storage node that are terminated at an end of the quiescent state.

Abstract: Systems, methods, and computer programs are disclosed for controlling memory frequency. One method comprises a first memory client generating a compressed data buffer and compression statistics related to the compressed data buffer. The compressed data buffer and the compression statistics are stored in a memory device. Based on the stored compression statistics, a frequency or voltage setting of the memory device is adjusted for enabling a second memory client to read the compressed data buffer.

Abstract: A method and system for adjusting bandwidth within a portable computing device based on danger signals monitored from one on more elements of the portable computing device are disclosed. A danger level of an unacceptable deadline miss (“UDM”) element of the portable computing device may be determined with a danger level sensor within the UDM element. Next, a quality of service (“QoS”) controller may adjust a magnitude for one or more danger levels received based on the UDM element type that generated the danger level and based on a potential fault condition type associated with the particular danger level. The danger levels received from one UDM element may be mapped to at least one of another UDM element and a non-UDM element. A quality of service policy for each UDM element and non-UDM element may be mapped in accordance with the danger levels.

Abstract: Various embodiments of methods and systems for managing compressed data transaction sizes in a system on a chip (“SoC”) in a portable computing device (“PCD”) are disclosed. Based on lengths of compressed data tiles associated in a group, wherein the compressed data tiles are comprised within a compressed image file, multiple compressed data tiles may be aggregated into a single, multi-tile transaction. A metadata file may be generated in association with the single multi-tile transaction to identify the transaction as a multi-tile transaction and provide offset data to distinguish data associated with the compressed data tiles. Using the metadata, embodiments of the solution may provide for random access and modification of the compressed data stored in association with a multi-tile transaction.

Abstract: Systems, methods, and computer programs are disclosed for controlling memory frequency. One method comprises a first memory client generating a compressed data buffer and compression statistics related to the compressed data buffer. The compressed data buffer and the compression statistics are stored in a memory device. Based on the stored compression statistics, a frequency or voltage setting of the memory device is adjusted for enabling a second memory client to read the compressed data buffer.

Abstract: A method and system for managing safe downtime of shared resources within a portable computing device are described. The method may include determining a tolerance for a downtime period for an unacceptable deadline miss element of the portable computing device. Next, the determined tolerance for the downtime period may be transmitted to quality-of-service (“QoS”) controller. The QoS controller may determine if the tolerance for the downtime period needs to be adjusted. The QoS controller may receive a downtime request from one or more shared resources of the portable computing device. The QoS controller may determine if the downtime request needs to be adjusted. Next, the QoS controller may select a downtime request for execution and then identify which one or more unacceptable deadline miss elements of the portable computing device that are impacted by the selected downtime request.

Abstract: A method and system for adjusting bandwidth within a portable computing device based on danger signals monitored from one on more elements of the portable computing device are disclosed. A danger level of an unacceptable deadline miss (“UDM”) element of the portable computing device may be determined with a danger level sensor within the UDM element. Next, a quality of service (“QoS”) controller may adjust a magnitude for one or more danger levels received based on the UDM element type that generated the danger level and based on a potential fault condition type associated with the particular danger level. The danger levels received from one UDM element may be mapped to at least one of another UDM element and a non-UDM element. A quality of service policy for each UDM element and non-UDM element may be mapped in accordance with the danger levels.