Netapp, Inc.

Xin Wang

Vijay Mohan Deshmukh

Kiyoshi James Komatsu

Srishylam Simharajan

Jonathan Curley

Gurmeet Singh

Keith Allen Bare, Ii

Laura Beegle

Richard Parvin Jernigan, Iv

Richard Jernigan

Adam F Ciapponi

Daniel Tennant

Ying-Hao Wang

Richard Chow

Bradley Raymond Lisson

Brad Lisson

Dave Rose

Richard Wight

Jonathan Westley Moody

David Loren Rose

Subramanian Natarajan

Bill Zumach

Keith Bare

Methods, non-transitory machine readable media, and computing devices that ensure correctness of file system analytics are disclosed. With this technology, a first generation number for a volume is incremented in response to a modification of a rule set that defines properties of objects of a file system associated with the volume. A determination is made when a second generation number in a first inode for a first one of the objects matches the first generation number. The first inode is identified based on a traversal of a directory tree associated with the file system. The modified rule set is applied to the properties for the first one of the objects to obtain values, when the second generation number fails to match the first generation number. Analytics data is output after the traversal has completed. The analytics data is generated in response to a query and is based on the values.

Methods for ensuring correctness of file system analytics and devices thereof

Methods, non-transitory machine readable media, and computing devices that more efficiently and effectively manage storage quota enforcement are disclosed. With this technology, a quota ticket comprising a tally generation number (TGN) and a local allowed usage amount (AUA) are obtained. The local AUA comprises a portion of a global AUA associated with a quota rule. The local AUA is increased following receipt of another portion of the global AUA in a response from a cluster peer, when another TGN in the response matches the TGN and the local AUA is insufficient to execute a received storage operation associated with the quota rule. The local AUA is decreased by an amount corresponding to, and following execution of, the storage operation, when the increased local AUA is sufficient to execute the storage operation.

Methods for managing storage quota assignment in a distributed system and devices thereof

Methods, non-transitory machine readable media, and computing devices that facilitate more efficient file system directory analytics are disclosed. With this technology, a bucket value is increased for one of a plurality of buckets in each of a plurality of histograms associated with a file system directory in a hierarchical directory tree after a storage operation creating a file in the file system directory. A time value is set for the file based on a time of the storage operation. The bucket value is adjusted responsive to subsequent storage operation(s) (e.g., read, write, or delete) associated with the file. The one of the buckets is identified after the subsequent storage operation(s) based on the time value. An interactive analytics interface is output that is configured to generate, using one or more of the histograms, historical activity associated with the file system directory responsive to a selection of the file system directory.

Methods for facilitating efficient analysis of time-based file system properties using histograms and devices thereof

The disclosed techniques enable push-based piggybacking of a source-driven logical replication system. Logical replication of a data set (e.g., a snapshot) from a source node to a destination node can be achieved from a source-driven system while preserving the effects of storage efficiency operations (deduplication) applied at the source node. However, if missing data extents are detected at the destination, the destination has an extent pulling problem as the destination may not have knowledge of the physical layout on the source-side and/or mechanisms for requesting extents. The techniques overcome the extent pulling problem in a source-driven replication system by introducing specific protocols for obtaining missing extents within an existing replication environment by piggybacking data pushes from the source.

Push-based piggyback system for source-driven logical replication in a storage environment

Machine implemented method and system for transferring replicated information from a first storage location managed by a storage operating system at a first storage system node and accessible to a client computing system to a second storage location managed by a second storage system node are provided. A resource pool having a plurality of tokens is maintained for authorizing a replication engine to transfer replicated information from the first storage location to the second storage location. The number of available tokens is increased when traffic due to client requests for accessing the first storage location is less than a first threshold level. The number of available tokens is decreased for reducing transfer of information via the replication engine, when latency in responding to the client requests reaches a second threshold value and the traffic due to client requests reaches the first threshold value.

Method and system for transferring replicated information from source storage to destination storage

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Sewickley, PA, United States of America

Xin Wang