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    SYSTEMS AND METHODS FOR PREDICTING STORAGE DEVICE FAILURE USING MACHINE LEARNING
    1.
    发明公开
    SYSTEMS AND METHODS FOR PREDICTING STORAGE DEVICE FAILURE USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20230281489A1

    公开(公告)日：2023-09-07

    申请号：US18197717

    申请日：2023-05-15

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Qinling ZHENG ,  Nima ELYASI ,  Vikas SINHA ,  Changho CHOI

    IPC: G06N5/04 ,  G06N20/00 ,  G06F11/16

    CPC classification number: G06N5/04 ,  G06N20/00 ,  G06F11/16

    Abstract: A method for predicting a time-to-failure of a target storage device may include training a machine learning scheme with a time-series dataset, and applying the telemetry data from the target storage device to the machine learning scheme which may output a time-window based time-to-failure prediction. A method for training a machine learning scheme for predicting a time-to-failure of a storage device may include applying a data quality improvement framework to a time-series dataset of operational and failure data from multiple storage devices, and training the scheme with the pre-processed dataset. A method for training a machine learning scheme for predicting a time-to-failure of a storage device may include training the scheme with a first portion of a time-series dataset of operational and failure data from multiple storage devices, testing the machine learning scheme with a second portion of the time-series dataset, and evaluating the machine learning scheme.

    SYSTEMS AND METHODS FOR PREDICTING STORAGE DEVICE FAILURE USING MACHINE LEARNING
    2.
    发明申请
    SYSTEMS AND METHODS FOR PREDICTING STORAGE DEVICE FAILURE USING MACHINE LEARNING 有权

    公开(公告)号：US20210264294A1

    公开(公告)日：2021-08-26

    申请号：US15931573

    申请日：2020-05-13

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Qinling ZHENG ,  Nima ELYASI ,  Vikas SINHA ,  Changho CHOI

    IPC: G06N5/04 ,  G06N20/00

    Abstract: A method for predicting a time-to-failure of a target storage device may include training a machine learning scheme with a time-series dataset, and applying the telemetry data from the target storage device to the machine learning scheme which may output a time-window based time-to-failure prediction. A method for training a machine learning scheme for predicting a time-to-failure of a storage device may include applying a data quality improvement framework to a time-series dataset of operational and failure data from multiple storage devices, and training the scheme with the pre-processed dataset. A method for training a machine learning scheme for predicting a time-to-failure of a storage device may include training the scheme with a first portion of a time-series dataset of operational and failure data from multiple storage devices, testing the machine learning scheme with a second portion of the time-series dataset, and evaluating the machine learning scheme.

    NON-UNIFORM BUS (NUB) INTERCONNECT PROTOCOL FOR TILED LAST LEVEL CACHES
    3.
    发明申请
    NON-UNIFORM BUS (NUB) INTERCONNECT PROTOCOL FOR TILED LAST LEVEL CACHES 审中-公开

    公开(公告)号：US20180329820A1

    公开(公告)日：2018-11-15

    申请号：US15677739

    申请日：2017-08-15

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Vikas SINHA ,  Eric C. Quinnell ,  Jyotsna Kartha

    IPC: G06F12/0831 ,  G06F15/17

    Abstract: A method and apparatus are provided. The apparatus includes a plurality of central processing units, a plurality of core input/output units, a plurality of last level cache memory banks, an interconnect network comprising multiple instantiations of dedicated data channels, wherein each dedicated data channel is dedicated to a memory transaction type, each instantiation of dedicated data channels includes arbitration multiplexors, and each dedicated data channel operates independently of other data channels.

    SYSTEM AND METHOD FOR OPTIMIZING PERFORMANCE OF A SOLID-STATE DRIVE USING A DEEP NEURAL NETWORK
    5.
    发明申请
    SYSTEM AND METHOD FOR OPTIMIZING PERFORMANCE OF A SOLID-STATE DRIVE USING A DEEP NEURAL NETWORK 审中-公开

    公开(公告)号：US20190317901A1

    公开(公告)日：2019-10-17

    申请号：US16012470

    申请日：2018-06-19

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Ramdas P. KACHARE ,  Sompong Paul OLARIG ,  Vikas SINHA ,  Zvika GUZ

    IPC: G06F12/1009 ,  G06F12/02 ,  G06F12/109 ,  G06F3/06

    Abstract: A controller of a data storage device includes: a host interface providing an interface to a host computer; a flash translation layer (FTL) translating a logical block address (LBA) to a physical block address (PBA) associated with an input/output (I/O) request; a flash interface providing an interface to flash media to access data stored on the flash media; and one or more deep neural network (DNN) modules for predicting an I/O access pattern of the host computer. The one or more DNN modules provide one or more prediction outputs to the FTL that are associated with one or more past I/O requests and a current I/O request received from the host computer, and the one or more prediction outputs include at least one predicted I/O request following the current I/O request. The FTL prefetches data stored in the flash media that is associated with the at least one predicted I/O request.

    SOLID STATE DRIVE MULTI-CARD ADAPTER WITH INTEGRATED PROCESSING
    9.
    发明申请
    SOLID STATE DRIVE MULTI-CARD ADAPTER WITH INTEGRATED PROCESSING 有权

    公开(公告)号：US20210208821A1

    公开(公告)日：2021-07-08

    申请号：US17206106

    申请日：2021-03-18

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Fred WORLEY ,  Harry ROGERS ,  Gunneswara MARRIPUDI ,  Zhan PING ,  Vikas SINHA

    IPC: G06F3/06 ,  G06F13/42 ,  G06F13/40

    Abstract: Embodiments of the inventive concept include solid state drive (SSD) multi-card adapters that can include multiple solid state drive cards, which can be incorporated into existing enterprise servers without major architectural changes, thereby enabling the server industry ecosystem to easily integrate evolving solid state drive technologies into servers. The SSD multi-card adapters can include an interface section between various solid state drive cards and drive connector types. The interface section can perform protocol translation, packet switching and routing, data encryption, data compression, management information aggregation, virtualization, and other functions.

    BYPASS PREDICTOR FOR AN EXCLUSIVE LAST-LEVEL CACHE
    10.
    发明申请
    BYPASS PREDICTOR FOR AN EXCLUSIVE LAST-LEVEL CACHE 审中-公开

    公开(公告)号：US20200210347A1

    公开(公告)日：2020-07-02

    申请号：US16289645

    申请日：2019-02-28

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yingying TIAN ,  Tarun NAKRA ,  Vikas SINHA ,  Hien LE

    IPC: G06F12/123 ,  G06F12/0888 ,  G06F12/0811 ,  G06F9/50

    Abstract: A system and a method to allocate data to a first cache increments a first counter if a reuse indicator for the data indicates that the data is likely to be reused and decremented the counter if the reuse indicator for the data indicates that the data is likely not to be reused. A second counter is incremented upon eviction of the data from the second cache, which is a higher level cache than the first cache. The data is allocated to the first cache if the value of the first counter is equal to or greater than the first predetermined threshold or the value of the second counter equals zero, and the data is bypassed from the first cache if the value of the first counter is less than the first predetermined threshold and the value of the second counter is not equal to zero.

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