Samsung Electronics Co., Ltd.

Kibeen Jung

Jungmin Seo

Byeonghui Kim

Seungjun Yang

Sungmin Jang

Hyunkyo Oh

Minkyu Kim

Jaewoong Kim

Hyeongyu Min

Han Kyoo Lee

A throttling method for a storage device is provided. The throttling method includes: receiving a write command from a host; identifying, using a first machine learning model, a throttling delay time; transmitting a completion message to the host according to the throttling delay time; collecting weights of the first machine learning model and performance information of the storage device corresponding to the weights; learning the weights and the performance information to generate an objective function indicating a relationship between the weights and the performance information using a second machine learning model of a weight learning device; selecting a weight corresponding to a maximum performance using the objective function; and updating the first machine learning model with the weight.

Storage device, storage system and throttling method thereof

A storage device includes a memory device including a plurality of memory blocks and a memory controller. The memory controller is configured to control a garbage collection operation of the memory device. The memory controller is also configured to select a victim block and a target block for performing the garbage collection operation among the plurality of memory blocks, according to state information of each of the plurality of memory blocks and feature information of data written in each of the plurality of memory blocks, by using a reinforcement learning model.

Storage device and operating method of memory controller

An operation method of a storage device includes receiving a first write request; adding the first write request to a first fragment; selecting at least 'n' (e.g., at least two) streams among a plurality of pre-allocated streams when a size of the first fragment, when a size of the first fragment is >=a reference value, based on a cosine similarity between the first fragment and each of the pre-allocated streams; applying input information to a machine learning model to detect a first sequential stream associated with the first fragment from among the at least “n” streams; allocating a stream identifier of the first sequential stream to the first fragment; and storing write data included in the first fragment based on the stream identifier of the first sequential stream. The input information includes statistical information of at least one of the “n” streams and the first fragment.

Storage controller, storage device, and operation method of storage device

A storage device is configured to manage a plurality of nonvolatile memories with a plurality of physical streams. An operation method of the storage device includes receiving an input/output request from an external host device, determining a 0-th virtual stream identifier, extracting a 0-th representative value from a 0-th virtual stream feature, extracting a first and second representative values corresponding to first and second physical streams, calculating distance information including first and second similarities between the 0-th virtual stream and each of the first and second physical streams, based on the extracted representative values, assigning one of the plurality of physical streams to the 0-th virtual stream, based on the distance information, and performing an operation corresponding to the input/output request, at the assigned physical stream, and the extracting and the calculating are performed by using machine learning model.

Storage device configured to support multi-streams and operation method thereof

The present disclosure provides an operating method of a storage controller. The operating method includes receiving user data and environmental information, obtaining logical-characteristic information and physical-characteristic information, defining a current state, obtaining expectation values, and performing a write operation. User data and environmental information is received from a non-volatile memory. The current state may be defined based on the logical-characteristic information and the physical-characteristic information. Expectation values may be obtained based on policy information and the current state. The write operation may be performed on the user data through a physical stream corresponding to a maximum value among the expectation values.

Storage controller and storage device including the same and operating method thereof

A storage device is provided. In relation to the storage device operating in an active mode and a low power mode, the storage devices includes a nonvolatile memory including a plurality of nonvolatile memory cells, and a storage controller configured to process commands inputted from a host device in the active mode, wherein the storage controller includes a power mode manager that adjusts the plurality of power modes, wherein, when a first command is inputted, the power mode manager predicts an input prediction time for a second command to be inputted from the host device after the first command, changes from the active mode to the low power mode when a processing operation of the first command is completed, and returns to the active mode from the low power mode when a set return time elapses according to the input prediction time.

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Incheon, South Korea

Kibeen Jung