Distributed File System with Reduced Write and Read Latencies

    公开(公告)号:US20250068600A1

    公开(公告)日:2025-02-27

    申请号:US18942186

    申请日:2024-11-08

    Applicant: NetApp, Inc.

    Abstract: A method for reducing write latency in a distributed file system. A write request that includes a volume identifier is received at a data management subsystem deployed on a node within a distributed storage system. The data management subsystem maps the volume identifier to a file system volume and maps the file system volume to a set of logical block addresses in a logical block device in a storage management subsystem deployed on the node. The storage management subsystem maps the logical block device to a metadata object for the logical block device on the node that is used to process the write request. The mapping of the file system volume to the set of logical block addresses in the logical block device enables co-locating the metadata object with the file system volume on the node, which reduces the write latency associated with processing the write request.

    CONFIGURABLE QUALITY OF SERVICE PROVIDER PIPELINE

    公开(公告)号:US20240364604A1

    公开(公告)日:2024-10-31

    申请号:US18307103

    申请日:2023-04-26

    Applicant: NetApp Inc.

    Abstract: Techniques are provided for dynamically implementing quality of service policies using a configurable quality of service provider pipeline. A quality of service policy is defined for throttling I/O operations received by a node based upon whether resources of the node have become over utilized. The quality of service policy is used to dynamically construct a quality of service provider pipeline with select quality of service providers that improve the ability to efficiently utilize resources compared to conventional static polices that cannot adequately react to changing considerations and resource utilization/saturation. With conventional static policies, an administrator manually defines a minimum amount of guaranteed resources and/or a maximum resource usage cap that could be set to values that result in inefficient operation and resource starvation. Dynamically constructing and utilizing the quality of service provider pipeline results in more efficient operation and mitigates resource starvation.

    Slice file recovery using dead replica slice files

    公开(公告)号:US12014056B2

    公开(公告)日:2024-06-18

    申请号:US17893511

    申请日:2022-08-23

    Applicant: NetApp Inc.

    CPC classification number: G06F3/0619 G06F3/064 G06F3/067

    Abstract: Techniques are provided for repairing a primary slice file, affected by a storage device error, by using one or more dead replica slice files. The primary slice file is used by a node of a distributed storage architecture as an indirection layer between storage containers (e.g., a volume or LUN) and physical storage where data is physically stored. To improve resiliency of the distributed storage architecture, changes to the primary slice file are replicated to replica slice files hosted by other nodes. If a replica slice file falls out of sync with the primary slice file, then the replica slice file is considered dead (out of sync) and could potentially comprise stale data. If a storage device error affects blocks storing data of the primary slice file, then the techniques provided herein can repair the primary slice file using non-stale data from one or more dead replica slice files.

    Distributed File System with Reduced Write and Read Latencies

    公开(公告)号:US20220391361A1

    公开(公告)日:2022-12-08

    申请号:US17449760

    申请日:2021-10-01

    Applicant: NetApp, Inc.

    Abstract: A method for reducing write latency in a distributed file system. A write request that includes a volume identifier is received at a data management subsystem deployed on a node within a distributed storage system. The data management subsystem maps the volume identifier to a file system volume and maps the file system volume to a set of logical block addresses in a logical block device in a storage management subsystem deployed on the node. The storage management subsystem maps the logical block device to a metadata object for the logical block device on the node that is used to process the write request. The mapping of the file system volume to the set of logical block addresses in the logical block device enables co-locating the metadata object with the file system volume on the node, which reduces the write latency associated with processing the write request.

    DYNAMICALLY SCALING APPLICATION AND STORAGE SYSTEM FUNCTIONS BASED ON A HETEROGENEOUS RESOURCE POOL AVAILABLE FOR USE BY A DISTRIBUTED STORAGE SYSTEM

    公开(公告)号:US20240427799A1

    公开(公告)日:2024-12-26

    申请号:US18820543

    申请日:2024-08-30

    Applicant: NetApp, Inc.

    Abstract: Systems and methods for scaling application and/or storage system functions of a distributed storage system based on a heterogeneous resource pool are provided. According to one embodiment, the distributed storage system has a composable, service-based architecture that provides scalability, resiliency, and load balancing. The distributed storage system includes a cluster of nodes each potentially having differing capabilities in terms of processing, memory, and/or storage. The distributed storage system takes advantage of different types of nodes by selectively instating appropriate services (e.g., file and volume services and/or block and storage management services) on the nodes based on their respective capabilities. Furthermore, disaggregation of these services, facilitated by interposing a frictionless layer (e.g., in the form of one or more globally accessible logical disks) therebetween, enables independent and on-demand scaling of either or both of application and storage system functions within the cluster while making use of the heterogeneous resource pool.

    Dynamically scaling application and storage system functions based on a heterogeneous resource pool available for use by a distributed storage management system

    公开(公告)号:US12079242B2

    公开(公告)日:2024-09-03

    申请号:US18047774

    申请日:2022-10-19

    Applicant: NetApp, Inc.

    CPC classification number: G06F16/27

    Abstract: Systems and methods for scaling application and/or storage system functions of a distributed storage system based on a heterogeneous resource pool are provided. According to one embodiment, the distributed storage system has a composable, service-based architecture that provides scalability, resiliency, and load balancing. The distributed storage system includes a cluster of nodes each potentially having differing capabilities in terms of processing, memory, and/or storage. The distributed storage system takes advantage of different types of nodes by selectively instating appropriate services (e.g., file and volume services and/or block and storage management services) on the nodes based on their respective capabilities. Furthermore, disaggregation of these services, facilitated by interposing a frictionless layer (e.g., in the form of one or more globally accessible logical disks) therebetween, enables independent and on-demand scaling of either or both of application and storage system functions within the cluster while making use of the heterogeneous resource pool.

    Per-volume tenant encryption and external key manager

    公开(公告)号:US10460124B2

    公开(公告)日:2019-10-29

    申请号:US15186787

    申请日:2016-06-20

    Applicant: NETAPP, INC.

    Abstract: A server node with one or more processors is configured to receive a request to write data to a storage medium and compress the data to yield compressed data. The one or more processors are further configured to encrypt the compressed data according to an encryption key to yield compressed and encrypted data. The one or more processors are further configured to hash the compressed and encrypted data to yield one or more block identifiers that uniquely represent the compressed and encrypted data.

    Distributed File System that Provides Scalability and Resiliency

    公开(公告)号:US20240370410A1

    公开(公告)日:2024-11-07

    申请号:US18773483

    申请日:2024-07-15

    Applicant: NetApp, Inc.

    Abstract: In various examples, data storage is managed using a distributed storage management system that is resilient. Data blocks of a logical block device may be distributed across multiple nodes in a cluster. The logical block device may correspond to a file system volume associated with a file system instance deployed on a selected node within a distributed block layer of a distributed file system. Each data block may have a location in the cluster identified by a block identifier associated with each data block. Each data block may be replicated on at least one other node in the cluster. A metadata object corresponding to a logical block device that maps to the file system volume may be replicated on at least another node in the cluster. Each data block and the metadata object may be hosted on virtualized storage that is protected using redundant array independent disks (RAID).

    DYNAMIC QUALITY OF SERVICE IMPLEMENTATION BASED UPON RESOURCE SATURATION

    公开(公告)号:US20240361912A1

    公开(公告)日:2024-10-31

    申请号:US18307097

    申请日:2023-04-26

    Applicant: NetApp Inc.

    CPC classification number: G06F3/0613 G06F3/0659 G06F3/0683

    Abstract: Techniques are provided for dynamically implementing quality of service policies for a distributed storage system based upon resources saturation. A quality of service policy is defined for throttling I/O operations received by a node of the distributed storage system based upon whether resources of the node have become saturated. The quality of service policy is dynamically implemented based upon ever changing resource utilization and saturation. Dynamically implementing the quality of service policy improves the ability to efficiently utilize resources of the node compared to conventional static polices that cannot adequately react to such changing considerations and resource utilization/saturation. With conventional static policies, an administrator manually defines a minimum amount of guaranteed resources and/or a maximum resource usage cap that could be set to values that result in inefficient operation and resource starvation. Dynamically implementing the quality of service policy results in more efficient operation and mitigates resource starvation.

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