Abstract: Methods and systems for processing input/output (“I/O”) requests are disclosed. One method includes identifying, a the target, a granular size to split a write request into a plurality of write requests, based on utilization of a processor of the target configured to process input/output (I/O) requests, the granular size indicating a number of the plurality of write requests; generating, by the target, a plurality of read requests to a storage server, each read request corresponding one of the plurality of write requests; issuing, by the target, the plurality of write requests to a storage device controller, in response to receiving data for the plurality of read requests from the storage server; and transmitting, by the target, a completion notification indicating completion of the write request to the storage server, in response to the storage device controller writing data for each of the plurality of write requests.

Abstract: Techniques are provided for tiering snapshots to archival storage in remote object stores. A restore time metric, indicating that objects comprising snapshot data of snapshots created within a threshold timespan are to be available within a storage tier of a remote object store for performing restore operations, may be identified. A scanner may be executed to evaluate snapshots using the restore time metric to identify a set of candidate snapshots for archival from the storage tier to an archival storage tier of the remote object store. For each candidate snapshot within the set of candidate snapshots, the scanner may evaluate metadata associated with the candidate snapshot to identity one or more objects eligible for archival from the storage tier to the archival storage tier, and may archive the one or more objects from the storage tier to the archival storage tier.

Abstract: One or more techniques and/or systems are disclosed for redeploying a baseline VM (BVM) to one or more child VMs (CVMs) by merely cloning virtual drives of the BVM, instead of the entirety of the parent BVM. A temporary directory is created in a datastore that has the target CVMs that are targeted for virtual drive replacement (e.g., are to be “re-baselined”). One or more replacement virtual drives (RVDs) are created in the temporary directory, where the RVDs comprise a clone of a virtual drive of the source BVM. The one or more RVDs are moved from the temporary directory to a directory of the target CVMs, replacing existing virtual drives of the target CVMs so that the target CVMs are thus re-baselined to the state of the parent BVM.

Abstract: A client identifies a first data unit to be shared from a first file to a second file and sends an operation to copy that indicates the first data unit to be shared. The operation to copy the first data unit from the first file to the second file is received. In response to receiving the operation to copy the first data unit from the first file to the second file, it is determined whether the first data unit can be shared with the second file. In response to determining that the first data unit cannot be shared with the second file, the first data unit is copied to the second file. In response to determining that the first data unit can be shared with the second file, the first data unit is shared between the first file and the second file.

Abstract: Failover methods and systems for a storage environment are provided. During a takeover operation to take over storage of a first storage system node by a second storage system node, the second storage system node copies information from a first storage location to a second storage location. The first storage location points to an active file system of the first storage system node, and the second storage location is assigned to the second storage system node for the takeover operation. The second storage system node quarantines storage space likely to be used by the first storage system node for a write operation, while the second storage system node attempts to take over the storage of the first storage system node. The second storage system node utilizes information stored at the second storage location during the takeover operation to give back control of the storage to the first storage system node.

Abstract: Techniques are provided for coordinating snapshot operations across multiple file systems. A notification may be received that a snapshot of data stored across a persistent memory file system and a storage file system is to be generated. Forwarding, of modify operations from a persistent memory tier to a file system tier for execution through the storage file system, may be enabled. Framing may be initiated to notify the storage file system of blocks within the persistent memory file system that comprise more up-to-date data than corresponding blocks within the storage file system. In response to the framing completing, a consistency point operation is performed to create the snapshot and to create a snapshot image as part of the snapshot.

Abstract: A request is received to retrieve at least a portion of a file from a compressed data archived image stored in a backup storage device. The compressed data archived image comprises a backup of a file system having a number of directories and a number of files. The compressed data archived image comprises a file that includes a compression of the number of files. An address of the at least the portion of the file within the compressed data archived image is determined. The at least the portion of the file is retrieved at the address in the compressed data archived image, without decompressing the compressed data archived image.

Abstract: The present technology relates to identifying an artificial intelligence model based on a received first key value to write a received first block of data associated with a file. The received first key value is applied to the identified artificial intelligence model which is trained to output one of a plurality of actual index values where the identified artificial intelligence model and the plurality of data blocks are stored as a neural tree. The one of the actual index values is compared to a range within the actual index values to determine when the one of the actual index value points to a first data block of the plurality of data. The received first block of data associated with the file is written into the determined first data block.

Abstract: Methods, non-transitory machine readable media, and computing devices that manage resources between multiple hosts coupled to dual-port solid-state disks (SSDs) are disclosed. With this technology, in-core conventional namespace (CNS) and zoned namespace (ZNS) mapping tables are synchronized by a host flash translation layer with on-disk CNS and ZNS mapping tables, respectively. An entry in one of the in-core CNS or ZNS mapping tables is identified based on whether a received storage operation is directed to a CNS or a ZNS of the dual-port SSD. The entry is further identified based on a logical address extracted from the storage operation. The storage operation is serviced using a translation in the identified entry for the logical address, when the storage operation is directed to the CNS, or a zone identifier in the identified entry for a zone of the ZNS, when the storage operation is directed to the ZNS.

Abstract: A data management services architecture includes architectural components that run in both a storage and compute domains. The architectural components redirect storage requests from the storage domain to the compute domain, manage resources allocated from the compute domain, ensure compliance with a policy that governs resource consumption, deploy program code for data management services, dispatch service requests to deployed services, and monitor deployed services. The architectural components also include a service map to locate program code for data management services, and service instance information for monitoring deployed services and dispatching requests to deployed services. Since deployed services can be stateless or stateful, the services architecture also includes state data for the stateful services, with supporting resources that can expand or contract based on policy and/or service demand. The architectural components also include containers for the deployed services.

Abstract: Multi-site distributed storage systems and computer-implemented methods are described for providing an automatic unplanned failover (AUFO) feature to guarantee non-disruptive operations (e.g., operations of business enterprise applications, operations of software application) even in the presence of failures including, but not limited to, network disconnection between multiple data centers and failures of a data center or cluster.

Abstract: Techniques are provided for multi-tier write allocation. A storage system may store data within a multi-tier storage environment comprising a first storage tier (e.g., storage devices maintained by the storage system), a second storage tier (e.g., a remote object store provided by a third party storage provider), and/or other storage tiers. A determination is made that data (e.g., data of a write request received by the storage system) is to be stored within the second storage tier. The data is stored into a staging area of the first storage tier. A second storage tier location identifier, for referencing the data according to a format utilized by the second storage tier, is assigned to the data and provided to a file system hosting the data. The data is then destaged from the staging area into the second storage tier, such as within an object stored within the remote object store.

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: A method, non-transitory computer readable medium, and device that replicates data and provides instantaneous access to data includes receiving in a destination volume one or more named data extents and one or more references to the one or more named data extents associated with a file in parallel from a source volume. A determination is made to check whether the one or more references arrive before the one or more named data extents arrive. Each of the received one or more references which are determined to have arrived prior to the one or more data extents is allocated as absent by the storage management computing device. An instantaneous access to the file is provided during the allocation.

Abstract: Systems and methods are described for a non-disruptive planned failover from a primary copy of data at a primary storage cluster to a mirror copy of the data at a cross-site secondary storage cluster without using an external mediator. According to an example, a planned failover feature of a multi-site distributed storage system provides an order of operations such that a primary copy of a first data center continues to serve I/O operations until a mirror copy of a second data center is ready. This planned failover feature improves functionality and efficiency of the distributed storage system by providing non-disruptiveness during planned failover without using an external mediator based on a primary storage cluster being selected as an authority to implement a state machine with a persistent configuration database to track a planned failover state for the planned failover.

Abstract: Methods and systems for a storage environment are provided. One method includes splitting storage of a plurality of zoned solid-state drives (ZNS SSDs) into a plurality of physical zones (PZones) across a plurality of independent media units of each ZNS SSD, the PZones visible to a first tier RAID (redundant array of independent disks) layer; generating a plurality of RAID zones (RZones), each RZone having a plurality of PZones; presenting one or more RZones to a second tier RAID layer by the first tier RAID layer for processing read and write requests using the plurality of ZNS SSDs; and utilizing, by the first tier RAID layer, a parity PZone at each ZNS SSD for storing parity information corresponding to data written in one or more PZone corresponding to a RZone presented to the second tier RAID layer and storing the parity information in a single parity ZNS SSD.

Abstract: Methods and systems for processing input/output (“I/O”) requests are disclosed. One method includes identifying, a the target, a granular size to split a write request into a plurality of write requests, based on utilization of a processor of the target configured to process input/output (I/O) requests, the granular size indicating a number of the plurality of write requests; generating, by the target, a plurality of read requests to a storage server, each read request corresponding one of the plurality of write requests; issuing, by the target, the plurality of write requests to a storage device controller, in response to receiving data for the plurality of read requests from the storage server; and transmitting, by the target, a completion notification indicating completion of the write request to the storage server, in response to the storage device controller writing data for each of the plurality of write requests.

Abstract: Systems and methods for automated tuning of Quality of Service (QoS) settings of volumes in a distributed storage system are provided. According to one embodiment, responsive to a predetermined event, information regarding a multiple QoS settings assigned to a volume of a distributed storage system that is being utilized by a client are obtained. A difference between a first QoS setting of the multiple QoS settings and a second QoS setting of the multiple QoS settings is determined. Responsive to determining the difference is less than a threshold a new value of the first QoS setting or a third QoS setting of the multiple QoS settings that is greater than a respective current value of the first QoS setting or the third QoS setting is determined and assigned to the volume for the client.

Abstract: A method, system and computer program product, the method comprising: determining properties of a set of containers that are deployed over a computer infrastructure, wherein the computer infrastructure is provisioned via an infrastructure management service; determining properties of one or more headroom containers, wherein the one or more headroom containers are not deployed over the computer infrastructure; simulating the container orchestrator using the properties of the set of container and the properties of the headroom containers, for obtaining an expected deployment of the set of containers together with the one or more headroom containers; based on the expected deployment, determining whether the computer infrastructure is sufficient for deploying the set of containers together with the one or more headroom containers; and subject to the computer infrastructure being insufficient, issuing a request to the infrastructure management service to allocate additional computer infrastructure.

Abstract: A technique provides efficient data protection, such as erasure coding, for data blocks of volumes served by storage nodes of a cluster. Data blocks associated with write requests of unpredictable client workload patterns may be compressed. A set of the compressed data blocks may be selected to form a write group and an erasure code may be applied to the group to algorithmically generate one or more encoded blocks in addition to the data blocks. Due to the unpredictability of the data workload patterns, the compressed data blocks may have varying sizes. A pool of the various-sized compressed data blocks may be established and maintained from which the data blocks of the write group are selected. Establishment and maintenance of the pool enables selection of compressed data blocks that are substantially close to the same size and, thus, that require minimal padding.