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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.
Inventor： Abdul Basit , Daniel McCarthy , Christopher Lee Cason , Jian Hu
IPC: H04L41/5067 , G06F9/50
CPC classification number: H04L41/5067 , G06F9/5072 , G06F2209/501 , G06F2209/5011 , G06F2209/503 , G06F2209/505
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.
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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.
IPC: G06F3/06
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.
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公开(公告)号：US20250060881A1
公开(公告)日：2025-02-20
申请号：US18935813
申请日：2024-11-04
Applicant: NetApp, Inc.
Inventor： Abdul Basit , Daniel McCarthy , Christopher Lee Cason , Jian Hu
IPC: G06F3/06
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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公开(公告)号：US20240069743A1
公开(公告)日：2024-02-29
申请号：US17893511
申请日：2022-08-23
Applicant: NetApp Inc.
IPC: G06F3/06
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.
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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.
Inventor： Abdul Basit , Daniel McCarthy , Christopher Lee Cason , Jian Hu
IPC: G06F3/06
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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Patent Agency Ranking
公开(公告)号：US12126502B1
公开(公告)日：2024-10-22
申请号：US18307103
申请日：2023-04-26
Applicant: NetApp Inc.
Inventor： Abdul Basit , Daniel McCarthy , Christopher Lee Cason , Jian Hu
IPC: G06F15/173 , G06F9/50 , H04L41/5067
CPC classification number: H04L41/5067 , G06F9/5072 , G06F2209/501 , G06F2209/5011 , G06F2209/503 , G06F2209/505
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.
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公开(公告)号：US20200341639A1
公开(公告)日：2020-10-29
申请号：US16392885
申请日：2019-04-24
Applicant: NetApp, Inc.
Inventor： Christopher Lee Cason
Abstract: A technique organizes storage nodes of a cluster into failure domains logically organized vertically as protection domains of the cluster and stores replicas (i.e., one or more copies) of data (e.g., data block) on separate protection domains to ensure a replicated data layout such that a plurality of copies of a data block are resident at least on two or more different failure domains of nodes. An enhancement to the technique extends the layout of replicated data to include consideration of additional failure domains logically organized horizontally as replication zones of nodes storing the data. Each row (i.e., horizontal failure domain) is illustratively embodied as a “replication zone” that contains all replicas of the data block such that the blocks remain within the replication zone, i.e., no copies or replicas of data blocks are made between different replication zones. The enhanced technique organizes the replications zones orthogonal to the protection domains such that the replication zones are deployed (e.g., overlaid) across the plurality of protection domains in a manner that enhances the reliable and durable distribution of replicas of the data within nodes of the cluster. Thus, if an entire (vertical) protection domain of nodes fails or is lost, or if multiple nodes that are not in the same (horizontal) replication zone fail or are lost, then not all copies of the data are lost and the cluster is still operational and functional.
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公开(公告)号：US20250047575A1
公开(公告)日：2025-02-06
申请号：US18921168
申请日：2024-10-21
Applicant: NetApp, Inc.
Inventor： Abdul Basit , Daniel McCarthy , Christopher Lee Cason , Jian Hu
IPC: H04L41/5067 , G06F9/50
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.
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公开(公告)号：US12135880B1
公开(公告)日：2024-11-05
申请号：US18307097
申请日：2023-04-26
Applicant: NetApp Inc.
Inventor： Abdul Basit , Daniel McCarthy , Christopher Lee Cason , Jian Hu
IPC: G06F3/06
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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公开(公告)号：US20240338128A1
公开(公告)日：2024-10-10
申请号：US18744814
申请日：2024-06-17
Applicant: NetApp, Inc.
IPC: G06F3/06
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.
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