Sandisk Technologies Inc.

Lovish Singla

Shaheed Nehal A

Ramkumar Ramamurthy

Anamika Choudhary

Narendhiran Chinnaanangur Ravimohan

Meenakshi C

Pradeep Kumar N

Prathmesh Tandon

Lovleen Arora

Bhagyashankar Muthu Kumaresan

Examples include a data storage device controller with one or more electronic processors configured to receive a write command that includes host data to be written to a memory, and service the write command by controlling the memory to write the host data to a primary update block of the memory and a secondary update block of the memory. The one or more electronic processors perform a first targeted enhanced post-write read (EPWR) operation on the primary update block by identifying one or more valid data regions of the primary update block, selectively performing EPWR on the one or more valid data regions of the primary update block, and in response to determining, based on a result of the EPWR performed on the one or more valid data regions, that the one or more valid data regions do not include an uncorrectable error, releasing the secondary update block.

Targeted enhanced post-write read

A data storage device and method are disclosed for providing external-interrupt-based customized behavior. In one embodiment, a data storage device is provided comprising a memory and a controller configured to communicate with the memory. The controller is further configured to: receive an interrupt from a host indicating that a user is experiencing a performance problem with the data storage device; and in response to receiving the interrupt, take an action to address an issue in the data storage device that is causing the performance problem. Other embodiments are disclosed.

Data storage device and method for providing external-interrupt-based customized behavior

Systems, video cameras, and methods for predictive adjustment of multi-camera surveillance video data capture based on a network of sub-region graph maps are described. Different groups of networked video cameras are deployed across a region and represented in sub-region graph maps based on the physical locations of the video cameras and interrelated through a master graph map. Each group of networked video cameras includes a master video camera able to connect directly and/or through a control center to the master video cameras in other groups to share video capture update messages in response to regional video alert events.

Predictive adjustment of distributed surveillance video data capture using networks of graph maps

A controller of a data storage device manages access to sequential streams based on predicted commands from a host device. When a command is received, the controller analyzes command characteristics associated with the command. The controller also analyzes command characteristics associated with each predicted command. The controller compares the command characteristics to determine whether any of the predicted commands are sequential to the received command. If the controller determines that one or more of the predicted commands are sequential to the received command, the controller enables data associated with the received command to be written to a sequential stream. The controller also updates a stream counter associated with the sequential stream. The stream counter is used to determine which sequential stream will be closed and subsequently opened when a new set of sequential commands is received or identified.

Managing streams based on predicted host commands

Systems, video cameras, and methods for predictive adjustment of multi-camera surveillance video data capture based on graph maps are described. A plurality of networked video camera is deployed and represented in a graph map based on the video camera environment, with parent nodes corresponding to video cameras and child nodes corresponding to path intersections among the video cameras. When a video event is detected from video data for one of the video cameras, a video capture update message indicating a shared child node identifier is selectively sent to other video cameras to modify their video capture operations.

Predictive adjustment of multi-camera surveillance video data capture using graph maps

Storage devices include a memory array comprised of a plurality of memory devices. These memory devices typically have a plurality of metadata associated with them in addition to the data stored within. This metadata may include a timestamp indicating when the last host command, such as a read or write command, was processed on each of the memory devices. Using this timestamp metadata, the storage device can classify data based on how long it has been since last processed. Once known, the storage device can process memory devices that have not been processed after a certain period of time. This processing can include avoiding wear leveling, transferring data to an external cloud service, or compressing data, among others. During processing, such as compaction, timestamps associated with the data stored in each memory device can be transferred or otherwise associated with any destination memory device, thereby preserving the generated data classifications.

Tracking data usage in storage devices

A storage device performs a format operation for host devices using different format times and commands configurations. When a controller on the storage device receives an erase command from a host device, the controller determines the format time and a chunk size associated with data in the erase command. The controller executes a first format operation scheme, a second format operation scheme, or a third format operation scheme to perform an erase operation on the data in the erase command within the format time. The controller halts execution of the erase operation and returns operation to the host device when the format time expires.

Time bound partial format operation in a storage device

In solid state memory devices, garbage collection can be a bottleneck in meeting stringent performance requirements of certain hosts that generate a relatively-large amount of data (e.g., hosts that generate video data). With such hosts, the performance drop caused by background garbage collection can result in video recording failures. The memory device and method presented herein performs background operations in such a way as to enhance sustained performance. In general, a counter is maintained that reflects an amount of memory written to by a host, as well as an amount of memory freed by garbage collection operations. Each step of a garbage collection operation can be performed in response to a value of the counter being greater than a threshold for the step such that there is a balance between memory written and memory freed.

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Bengaluru, India

Lovish Singla