Abstract: Techniques are provided for object store mirroring. Data within a storage tier of a node may be determined as being data to tier out to a primary object store based upon a property of the data. A first object is generated to comprise the data. A second object is generated to comprise the data. The first object is transmitted to the primary data store for storage in parallel with the second object being transmitted to a mirror object store for storage. Tiering of the data is designated as successful once acknowledgements are received from both the primary object that the first object was stored and the mirror object store that the second object was stored.

Abstract: A technique is configured to utilize messages (e.g., frames) generated by a first layer of a protocol stack for a wireless network to configure network parameters associated with a second layer of the protocol stack for a wired network. The messages are illustratively beacon frames generated by a data link layer of a Transmission Control Protocol/Internet Protocol (TCP/IP) stack for a wireless network, and the network parameters are illustratively IP addresses associated with a network layer of the TCP/IP stack for a wired network. Notably, the beacon frames of the wireless network may be utilized for two-way communication exchange on a per node basis for each node in the wired network.

Abstract: Systems and methods for sampling a set of block IDs to facilitate estimating an amount of data stored in a data set of a storage system having one or more characteristics are provided. According to an example, metadata (e.g., block headers and block IDs) may be maintained regarding multiple data blocks of the data set. When one or more metrics relating to the data set are desired, an efficiency set, representing a subset of the block IDs of the data set, may be created to facilitate efficient calculation of the metrics by sampling the block IDs of the data set. Finally, the metrics may be estimated based on the efficiency set by analyzing one or more of the metadata (e.g., block headers) and the data contained in the data blocks corresponding to the subset of the block IDs and extrapolating the metrics for the entirety of the data set.

Abstract: Techniques are provided for storing immutable snapshot copes in write once read many (WORM) storage. A snapshot of a volume may be stored into one or more objects formatted according to an object format. An expiry time may be assigned to the snapshot and the one or more objects based upon a creation time of the snapshot and a retention time. The one or more objects may be stored within a remote object store. The one or more objects are retained in an immutable state and cannot be deleted until expiration of the expiry time. In response to identifying an existing object within the remote object store comprising shared snapshot data referenced by the snapshot, an assigned expiry time of the existing object may be modified based upon the expiry time of the snapshot to create a modified expiry time for the existing object.

Abstract: 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.

Abstract: A method, non-transitory computer readable medium, and device that assists with reducing memory fragmentation in solid state devices includes identifying an allocation area within an address range to write data from a cache. Next, the identified allocation area is determined for including previously stored data. The previously stored data is read from the identified allocation area when it is determined that the identified allocation area comprises previously stored data. Next, both the write data from the cache and the read previously stored data are written back into the identified allocation area sequentially through the address range.

Abstract: Data protection methods and systems for a storage environment are provided. A first-in-first out (FIFO) structure stores a logical representation of a first storage location that retains previous data for a data container, after new data for the data container is stored at a second storage location. The FIFO structure also stores a logical representation of a file system tree structure that is stored in persistent storage, after a consistent point operation. In response to an event, the file system tree structure is selected, based on the file system tree structure being closest to a transaction. A snapshot is generated using the file system tree structure. Thereafter, the data container is restored from the snapshot or from a copy of the snapshot.

Abstract: Asynchronous snapshot invalidation techniques are described. According to various such techniques, an enhanced file handle structure may be defined that includes a snapshot generation ID that is to comprise a value that singularly identifies a snapshot performed at a particular point in time. In some embodiments, when a snapshot ID assigned to that snapshot is reused at a subsequent point in time, a different snapshot generation ID may be assigned to that subsequent snapshot. With respect to an in-core cache, the differing snapshot generation IDs may eliminate unacceptable ambiguity regarding respective file information sets corresponding to the initial and subsequent snapshots sharing the same snapshot ID. As a result, obsolete file information sets may be cleared from the in-core cache asynchronously, enabling improved performance. The embodiments are not limited in this context.

Abstract: A method, a computing device, and a non-transitory machine-readable medium for modifying cache settings in the array cache are provided. Cache settings are set in an array cache, such that the array cache caches data in an input/output (I/O) stream based on the cache settings. Multiple cache simulators simulate the caching the data from the I/O stream in the array cache using different cache settings in parallel with the array cache. The cache settings in the array cache are replaced with the cache settings from one of the cache simulators based on the determination that the cache simulators increase effectiveness of caching data in the array cache.

Abstract: Techniques are provided for serializing replication operations. A plurality of operations are implemented upon a first storage object and are replicated as a plurality of replication operations. An order with which the plurality of replication operation are to be executed upon a second storage object is determined. Execution of the plurality of replication operations upon the second storage object is serialized according to the order.

Abstract: The disclosed technology relates to receiving an executable function from a client device, wherein the executable function is to be executed on a function as a service (FaaS) platform. Upon performing a verification and validation process on the received executable function prior to runtime, it is determined when to execute the received executable function based on based on one or more execution initiation techniques upon performing. The verified and validated executable function is executed at the runtime on the FaaS platform based on the determination.

Abstract: Techniques are provided for enforcing policies at a sub-logical unit number (LUN) granularity, such as at a virtual disk or virtual machine granularity. A block range of a virtual disk of a virtual machine stored within a LUN is identified. A quality of service policy object is assigned to the block range to create a quality of service workload object. A target block range targeted by an operation is identified. A quality of service policy of the quality of service policy object is enforced upon the operation using the quality of service workload object based upon the target block range being within the block range of the virtual disk.

Abstract: Techniques are provided for remote object store error handling. A storage system may store data within one or more tiers of storage, such as a local storage tier (e.g., solid state storage and disks maintained by the storage system), a remote object store (e.g., storage provided by a third party storage provider), and/or other storage tiers. Because the remote object store may not provide the same data consistency and guarantees that the storage system provides for clients such as through the local storage tier, additional validation is provided by the storage system for the remote object store. For example, when data is put into an object of the remote object store, a verification get operation is performed to read and validate information within a header of the object. Other verifications and checks are performed such as using a locally stored metafile to detect corrupt or lost metadata and/or objects.

Abstract: One or more techniques and/or systems are provided for detecting stale data and/or changed data. For example, a bitmap file may be maintained and mapped to an inofile describing various states of files of a file system. The bitmap file may be populated with bitmap records indicating whether files were accessed, modified, or have other states. The bitmap file may efficiently convey information used to determine whether files have not been accessed recently (e.g., stale data) or were recently modified (e.g., changed data) compared to the inofile because the bitmap file may comprise a fraction of the size of the inofile (e.g., a byte of information may be used to represent various states of one or more files). In this way, instead of evaluating a relatively larger inofile, the bitmap file may be evaluated to efficiently identify stale data for deletion or destaging and/or changed data for backup.

Abstract: Methods and systems for providing Quality of Service (QoS) in a cloud-based system are provided. One method includes assigning, by a micro-service, a workload identifier to a cloud volume created by a storage operating system in a cloud-based system; mapping, by the micro-service, the workload identifier to a volume identifier, the volume identifier generated by the storage operating system to identify the cloud volume; associating, by the micro-service, a policy with the cloud volume for providing QoS for the cloud volume; determining, by the micro-service, the workload identifier for the cloud volume from the volume identifier included in a request to store or retrieve data using the cloud volume; and assigning, by the micro-service, the workload identifier to a processing thread deployed by the storage operating system to process the request.

Abstract: Methods and systems for a networked storage system are provided. One method includes: generating, by a first node, a dummy entry in a storage location cache of the first node, the dummy entry associated with a read request received by the first node for data stored using a logical object owned by a second node; receiving, by the first node, an invalidation request to invalidate any storage location entry associated with the data, the invalidation request sent in response to the second node receiving a write request to modify the data; invalidating, by the first node, the dummy entry; receiving, by the first node, a response to the read request from the second node with the requested data; and replacing, by the first node, the dummy entry with a storage location entry and invalidating the storage location entry based on the invalidated dummy entry.

Abstract: A system, method, and machine-readable storage medium for determining an amount of unique data in a distributed storage system are provided. In some embodiments, a combined efficiency set for a first data set stored in the distributed storage system, such as at a volume, may be generated. The first data set may include a first subset of data and a second subset of data in the distributed storage system. Additionally, a set of efficiency sets for the first subset of data may be generated. A set difference based on the combined efficiency set and the set of efficiency sets may be computed. An amount of memory used for storing unique data of the second subset of data may be estimated based on the set difference. The unique data may be present in the second subset of data but absent from the first subset of data.

Abstract: Methods and systems for a networked storage system are provided. One method includes assigning a quality of service (QOS) parameter for a storage volume of a networked storage environment having a first storage node and a second storage node, where the QOS parameter is defined by a throughput value that defines a maximum data transfer rate and a number of input/output (I/O) operations executed within a time period (IOPS); distributing the QOS parameter between the first storage node and the second storage node; determining that throughput credit is available for processing an I/O request for using the storage volume; determining that IOPS credit is available for processing the request by the first storage node; and processing the I/O request when both the throughput credit and the IOPS credit is available.

Abstract: A request to generate a storage system model is received. The storage system model represents at least a portion of a storage system. In response to receiving the request, a storage system interface configuration is loaded. The storage system interface configuration comprises an attribute of an entity model. The attribute corresponds to an attribute of a storage system entity of the storage system. Further in response to receiving the request, the entity model is identified as representing the storage system entity. In response to identifying the entity model as representing the storage system entity, the entity model is instantiated.

Abstract: One or more techniques and/or computing devices are provided for resynchronization. For example, a request may be received to create pseudo snapshots of a first consistency group, hosted by a first storage controller, and a second consistency group, hosted by a second storage controller, having a synchronous replication relationship with the first consistency group. Incoming client write requests are logged within an intercept tracking log at the first storage controller. After a first drain without hold of incoming write requests is performed, a first pseudo common snapshot of the second consistency group is created. After a second drain without hold of incoming write operations is performed, a second pseudo common snapshot of the first consistency group and the intercept tracking log is created. The pseudo snapshots and the intercept tracking log (e.g., indicating a delta between the pseudo snapshots) are used to resynchronize the first and second consistency groups.