公开(公告)号：US20220237175A1

公开(公告)日：2022-07-28

申请号：US17717229

申请日：2022-04-11

Applicant: NetApp Inc.

Inventor： Kiran Nenmeli Srinivasan ,  Kishore Kasi UDAYASHANKAR ,  Swetha KRISHNAN

IPC: G06F16/23 ,  G06F16/22 ,  G06F16/2455 ,  G06F3/06

Abstract: A system and method for global data de-duplication in a cloud storage environment utilizing a plurality of data centers is provided. Each cloud storage gateway appliance divides a data stream into a plurality of data objects and generates a content-based hash value as a key for each data object. An IMMUTABLE PUT operation is utilized to store the data object at the associated key within the cloud.

公开(公告)号：US11010078B2

公开(公告)日：2021-05-18

申请号：US16774127

申请日：2020-01-28

Applicant: NetApp Inc.

Inventor： Mukul Sharma ,  Kartik Rathnakar ,  Dnyaneshwar Nagorao Pawar ,  Venkateswarlu Telia ,  Kiran Nenmeli Srinivasan ,  Rajesh Khandelwal ,  Alok Sharma

IPC: G06F3/06

Abstract: One or more techniques and/or computing devices are provided for inline deduplication. For example, a checksum hash table and/or a block number hash table may be maintained within memory (e.g., a storage controller may maintain the hash tables in-core). The checksum hash table may be utilized for inline deduplication to identify potential donor blocks that may comprise the same data as an incoming storage operation. Data within an in-core buffer cache is eligible as potential donor blocks so that inline deduplication may be performed using data from the in-core buffer cache, which may mitigate disk access to underlying storage for which the in-core buffer cache is used for caching. The block number hash table may be used for updating or removing entries from the hash tables, such as for blocks that are no longer eligible as potential donor blocks (e.g., deleted blocks, blocks evicted from the in-core buffer cache, etc.).

公开(公告)号：US12182067B2

公开(公告)日：2024-12-31

申请号：US17242448

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George ,  Kiran Nenmeli Srinivasan ,  Jeffrey David Prem

IPC: G06F16/11 ,  G06F11/14

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

公开(公告)号：US10685013B2

公开(公告)日：2020-06-16

申请号：US15681527

申请日：2017-08-21

Applicant: NetApp Inc.

Inventor： Kiran Nenmeli Srinivasan ,  Kishore Kasi Udayashankar ,  Swetha Krishnan

IPC: G06F16/30 ,  G06F16/23 ,  G06F16/22 ,  G06F16/2455 ,  G06F3/06

Abstract: A system and method for global data de-duplication in a cloud storage environment utilizing a plurality of data centers is provided. Each cloud storage gateway appliance divides a data stream into a plurality of data objects and generates a content-based hash value as a key for each data object. An IMMUTABLE PUT operation is utilized to store the data object at the associated key within the cloud.

公开(公告)号：US20200159432A1

公开(公告)日：2020-05-21

申请号：US16774127

申请日：2020-01-28

Applicant: NetApp Inc.

Inventor： Mukul Sharma ,  Kartik Rathnakar ,  Dnyaneshwar Nagorao Pawar ,  Venkateswarlu Tella ,  Kiran Nenmeli Srinivasan ,  Rajesh Khandelwal ,  Alok Sharma

IPC: G06F3/06

Abstract: One or more techniques and/or computing devices are provided for inline deduplication. For example, a checksum hash table and/or a block number hash table may be maintained within memory (e.g., a storage controller may maintain the hash tables in-core). The checksum hash table may be utilized for inline deduplication to identify potential donor blocks that may comprise the same data as an incoming storage operation. Data within an in-core buffer cache is eligible as potential donor blocks so that inline deduplication may be performed using data from the in-core buffer cache, which may mitigate disk access to underlying storage for which the in-core buffer cache is used for caching. The block number hash table may be used for updating or removing entries from the hash tables, such as for blocks that are no longer eligible as potential donor blocks (e.g., deleted blocks, blocks evicted from the in-core buffer cache, etc.).

公开(公告)号：US10585611B2

公开(公告)日：2020-03-10

申请号：US15138435

申请日：2016-04-26

Applicant: NetApp Inc.

Inventor： Mukul Sharma ,  Kartik Rathnakar ,  Dnyaneshwar Nagorao Pawar ,  Venkateswarlu Tella ,  Kiran Nenmeli Srinivasan ,  Rajesh Khandelwal ,  Alok Sharma

IPC: G06F3/06

Abstract: One or more techniques and/or computing devices are provided for inline deduplication. For example, a checksum hash table and/or a block number hash table may be maintained within memory (e.g., a storage controller may maintain the hash tables in-core). The checksum hash table may be utilized for inline deduplication to identify potential donor blocks that may comprise the same data as an incoming storage operation. Data within an in-core buffer cache is eligible as potential donor blocks so that inline deduplication may be performed using data from the in-core buffer cache, which may mitigate disk access to underlying storage for which the in-core buffer cache is used for caching. The block number hash table may be used for updating or removing entries from the hash tables, such as for blocks that are no longer eligible as potential donor blocks (e.g., deleted blocks, blocks evicted from the in-core buffer cache, etc.).

公开(公告)号：US20170308320A1

公开(公告)日：2017-10-26

申请号：US15138435

申请日：2016-04-26

Applicant: NetApp Inc.

Inventor： Mukul Sharma ,  Kartik Rathnakar ,  Dnyaneshwar Nagorao Pawar ,  Venkateswarlu Tella ,  Kiran Nenmeli Srinivasan ,  Rajesh Khandelwal ,  Alok Sharma

IPC: G06F3/06

CPC classification number: G06F3/0641 ,  G06F3/0605 ,  G06F3/0608 ,  G06F3/0659 ,  G06F3/0665 ,  G06F3/067 ,  G06F3/0679

Abstract: One or more techniques and/or computing devices are provided for inline deduplication. For example, a checksum hash table and/or a block number hash table may be maintained within memory (e.g., a storage controller may maintain the hash tables in-core). The checksum hash table may be utilized for inline deduplication to identify potential donor blocks that may comprise the same data as an incoming storage operation. Data within an in-core buffer cache is eligible as potential donor blocks so that inline deduplication may be performed using data from the in-core buffer cache, which may mitigate disk access to underlying storage for which the in-core buffer cache is used for caching. The block number hash table may be used for updating or removing entries from the hash tables, such as for blocks that are no longer eligible as potential donor blocks (e.g., deleted blocks, blocks evicted from the in-core buffer cache, etc.).

公开(公告)号：US09336260B2

公开(公告)日：2016-05-10

申请号：US14054984

申请日：2013-10-16

Applicant: NetApp, Inc.

Inventor： Kiran Nenmeli Srinivasan ,  Kishore Kasi Udayashankar ,  Swetha Krishnan

IPC: G06F17/30 ,  G06F3/06

CPC classification number: G06F17/30371 ,  G06F3/0608 ,  G06F3/0641 ,  G06F3/067 ,  G06F17/30321 ,  G06F17/30516

Abstract: A system and method for global data de-duplication in a cloud storage environment utilizing a plurality of data centers is provided. Each cloud storage gateway appliance divides a data stream into a plurality of data objects and generates a content-based hash value as a key for each data object. An IMMUTABLE PUT operation is utilized to store the data object at the associated key within the cloud.

Abstract translation: 提供了一种利用多个数据中心的云存储环境中的全局重复数据删除系统和方法。 每个云存储网关设备将数据流划分成多个数据对象，并且生成基于内容的散列值作为每个数据对象的密钥。 使用IMMUTABLE PUT操作来将数据对象存储在云内的关联密钥处。

公开(公告)号：US20150106343A1

公开(公告)日：2015-04-16

申请号：US14054984

申请日：2013-10-16

Applicant: NetApp, Inc.

Inventor： Kiran Nenmeli Srinivasan ,  Kishore Kasi Udayashankar ,  Swetha Krishnan

IPC: G06F17/30

CPC classification number: G06F17/30371 ,  G06F3/0608 ,  G06F3/0641 ,  G06F3/067 ,  G06F17/30321 ,  G06F17/30516

Abstract: A system and method for global data de-duplication in a cloud storage environment utilizing a plurality of data centers is provided. Each cloud storage gateway appliance divides a data stream into a plurality of data objects and generates a content-based hash value as a key for each data object. An IMMUTABLE PUT operation is utilized to store the data object at the associated key within the cloud.

Abstract translation: 提供了一种利用多个数据中心的云存储环境中的全局重复数据删除系统和方法。 每个云存储网关设备将数据流划分成多个数据对象，并且生成基于内容的散列值作为每个数据对象的密钥。 使用IMMUTABLE PUT操作来将数据对象存储在云内的关联密钥处。

公开(公告)号：US11880337B2

公开(公告)日：2024-01-23

申请号：US17242448

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George ,  Kiran Nenmeli Srinivasan ,  Jeffrey David Prem

IPC: G06F16/11 ,  G06F11/14

CPC classification number: G06F16/128 ,  G06F11/1448 ,  G06F2201/80 ,  G06F2201/84

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.