Netapp, Inc.

Ajay Bakre

Dheeraj Raghavender Sangamkar

Emalayan Vairavanathan

Vladimir Radu Avram

Viswanath Chandrasekara Bharathi

Oliver Erik Seiler

Alvin Lam

Vishnu Vardhan Chandra Kumaran

Carmen Lum

David Slik

Rukma Ameet Talwadker

Kartheek Muthyala

Girish Kumar Bk

Chhavi Sharma

Dhruva Krishnamurthy

A storage management computing device obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Policy-based hierarchical data protection in distributed storage

Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node ('node') is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Layering a distributed storage system into storage groups and virtual chunk spaces for efficient data recovery

A system and computer-based method for performing a data transaction in a network storage system is provided. In an embodiment, the method includes receiving, from a client, a first data transaction request including a first data identifier associated with a first namespace protocol; determining a storage system associated with the first data identifier and associated with a second namespace protocol; determining a second data identifier associated with the first data identifier, wherein the second data identifier conforms to the second namespace protocol; and forwarding a second data transaction request including the second data identifier to the storage system based on determining an association between the second data identifier and the first data identifier, wherein the first namespace protocol and the second namespace protocol are different.

Federated namespace of heterogeneous storage system namespaces

A storage management computing device obtains an information lifecycle management (ILM) policy based on a query from a storage node ingesting an object into a distributed storage system. A hierarchical data protection plan comprising protection schemes at different layers of the distributed storage system is determined. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on the hierarchical data protection plan. The storage management computing device instructs the ingesting storage node to store the object into the distributed storage system according to the hierarchical data protection plan.

Virtual chunk service based data recovery in a distributed data storage system

A method, non-transitory computer readable medium, and storage management computing device that assists with distributing erasure coded fragments in geo-distributed storage nodes includes receiving an object and a storage reliability requirement from a client computing device. Erasure coding is performed on the received object using an erasure coding scheme. An erasure coding group from a plurality of erasure coding groups present in a plurality of geographically distributed storage nodes is determined based on the received storage reliability requirement and the erasure coding scheme. The erasure coded object is distributed to the determined erasure coding group from the plurality of erasure coding groups in the plurality of geographically distributed storage nodes.

Distributing erasure-coded fragments in a geo-distributed storage system

A method, non-transitory computer readable medium, and storage management computing device that obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Policy based hierarchical data protection

Systems and methods efficiently distribute information, such as path name, attributes and object information, corresponding to changes in a content repository to remote nodes in a network using storage-layer/object-based protocols. A difference monitoring client monitors name space and object space changes by identifying inodes which have been modified on storage volumes between two or more snapshots. The monitoring client builds a list which may include name information, object space information and attributes such as file size and permissions for each of the changed inodes that is utilized to update the edge nodes. Systems and methods also provide for geo-scale content distribution from a central repository to edge nodes using a storage-layer/object protocol. A caching mechanism is utilized to cache requested content at an edge node. Cached content may be maintained at the edge node during use and/or for an additional predetermined period. Difference monitoring client may track such cached content.

Growing community of inventors

Bengaluru, India

Ajay Bakre