Micron Technology Incorporated

Alibaba Group Holding Limited

Advanced New Technologies Co., Ltd.

Alibaba Singapore Holding Private Limited

Peng Xu

Jiangang Wu

Yun Li

Rui Wang

Yikang Xu

Xiaofu Chang

Yu Du

James P Crowley

Jordan D Greenlee

Jung Sheng Hoei

Mark Ish

Qisong Lin

Xiaolong Li

Yuan Qi

Kaisheng Yao

Linlin Chao

John David Hopkins

Some embodiments include a method of forming a conductive structure. A metal-containing conductive material is formed over a supporting substrate. A surface of the metal-containing conductive material is exposed to at least one radical form of hydrogen and to at least one oxidant. The exposure alters at least a portion of the metal-containing conductive material to thereby form at least a portion of the conductive structure. Some embodiments include a conductive structure which has a metal-containing conductive material with a first region adjacent to a second region. The first region has a greater concentration of one or both of fluorine and boron relative to the second region.

Metal-containing structures, and methods of treating metal-containing material to increase grain size and/or reduce contaminant concentration

A client device may transmit a data stream including an object (such as a data file or record) to a storage system for storing the object in a storage device. In response to receiving the data stream, the storage system may store or write data of the object into a plurality of logical blocks of the storage device with an end-to-end data protection based at least in part on a comparison of a combination of check codes of a header of the object, the object and padding data with a combination of a plurality of check codes that are generated separately for metadata associated with the object and corresponding parts of the object stored in the plurality of logical blocks. The storage system may further provide an end-to-end data protection for reading data of an object stored in multiple logical blocks of a storage device.

End to end check code protection in storage engine

Methods and systems for in-memory metadata reduction in cloud storage system are provided. According to an aspect, a method comprises receiving a first command to write a data stream to a storage device; writing the data stream into a plurality of fragments having logical addresses corresponding to physical addresses on the storage device; and generating an index for individual fragment of the plurality of fragments, the index indicating information to locate the physical addresses of the individual fragment. Individual records in the individual fragment have a same pre-set logical size and all individual records in the individual fragment are continuous, and the index indicates the information including at least: an offset value of the individual record in the individual fragment; the pre-set logical size of the individual record; and a pre-set physical size of the individual record.

Method and system for in-memory metadata reduction in cloud storage system

A storage engine may obtain one or more object access properties of an object to be received, and determine a type of storage device that is suitable or desirable for storing the object from among different types of storage devices based at least in part on the one or more object access properties of the object to be received. In response to determining the type of storage device, the storage engine may allocate a storage device of such type for the object. The storage engine may then receive the object, and store the object into the allocated storage device.

Using object properties for facilitating object storage

Methods, systems, and devices for performance control for a memory sub-system are described. A memory sub-system can monitor a backend for writing data to a memory device. The memory sub-system can determine that the bandwidth of the backend satisfies one or more performance criteria that are based on performance between the memory sub-system and a host system. In some embodiments, the memory sub-system can allocate a quantity of slots of a buffer to a frontend of the memory sub-system based on determining that the bandwidth of the backend satisfies the one or more performance criteria. Slots of the buffer can be configured to receive data from the frontend for writing to the memory device by the backend.

Performance control for a memory sub-system

When performing a recycling operation on a storage device, a storage system may use or create a data buffer in the storage device, and designate the data buffer to temporarily store data of data blocks to be recycled in the storage device using direct memory access (DMA) operations that are performed internally in the storage device, without the need of reading the data of the data blocks from the storage device and writing the data into a host memory of the storage system, thereby saving or reducing the consumptions of the communication bandwidth of a communication channel between the storage system and the storage device, and the memory bandwidth of the host memory.

Recycle optimization in storage engine

A request to perform a program operation at a memory device is received. Whether a firmware block record is to be modified to correspond with a device block record is determined based on parameters associated with the program operation. The firmware block record tracks entries of the device block record. Responsive to determining that the firmware block record is to be modified, the firmware block record is modified to correspond with the device block record.

Memory sub-system management of firmware block record and device block record

Methods and systems implement a data recovery bypassing protocol, by which a storage node of a cloud network may return a replica of lost data being recovered to timely service a read operation call from a computing node of the cloud network, without waiting for completion of a first, a second, and a third recovery function. Storage devices implement asynchronous event reporting ('AER') protocol between a storage engine and storage devices of the storage node. Within a storage device, an AER generation protocol enables a storage controller and a flash memory cell array of the storage device to intercommunicate, and enables the storage controller to generate AER messages. By bypassing secondary recovery, the computing node may successfully read lost data from many or all storage nodes of the cloud network, thus completing read operation calls without suffering milliseconds in performance loss and blocking, averting observable degradation of QoS of the overall computing system.

Data recovery bypassing protocol for cloud network storage system

A media management operation is executed to write data from a source block of a cache memory to a set of pages of a destination block of a storage area of a memory sub-system. An entry of a data structure identifying a page count corresponding to the source block of the cache memory is generated. A power loss event associated with the destination block of the storage area is identified. A data recovery operation is executed using the data stored in the source block to complete the write to the destination block. The data is erased from the source block in response to the page count satisfying a condition.

Power loss data protection in a memory sub-system

Data storage and calling methods and devices are provided. One of the methods includes: receiving first motion data and business data; establishing an association relationship between the first motion data and the business data and storing the association relationship; receiving second motion data; and determining first motion data that matches the second motion data, and returning, to a sender of the second motion data, business data associated with the matched first motion data.

Data storage and calling methods and devices

A dialog generation method includes: training a sequence to sequence (seq2seq)-based dialog model using a loss function including topic range constraint information; and generating a dialog using the trained dialog model. With the dialog generation method, topic range constraint information is introduced in the process of dialog model training using a loss function including the topic range constraint information, thus helping to prevent the trained model from producing low-quality meaningless replies.

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Milpitas, CA, United States of America

Peng Xu