Methods and systems for performing a partial pass-through transfer are described. In an aspect, a method includes: receiving, from a first computing system, pass-through transfer definition data to be associated with a first logical storage area, the pass-through transfer definition data including a trigger condition for a pass-through transfer and an apportionment value for the pass-through transfer; storing a representation of the pass-through transfer definition data in association with the first logical storage area; detecting a first data transfer to the first logical storage area, the first data transfer representing a transfer of a resource; determining that the first data transfer satisfies the trigger condition; and in response to determining that the first data transfer satisfies the trigger condition: identifying a portion of the resource based on the apportionment value; and initiating a second data transfer.

A data storage system includes multiple data storage devices. A subset of the data storage devices are selected to implement log storages for the data storage system, wherein incoming read and write requests are serviced at the data storage devices implementing the log storages. Data written to a volume stored in the data storage system is initially written to the log storage and subsequently flushed to additional data storage implemented using remaining ones of the data storage devices of the data storage system. A controller monitors wear levels of the data storage devices and initiates a reorganization of which data storage devices implement the log storages and which data storage devices implement the additional storage such that discrepancies in wear between the data storage devices is reduced.

Systems and methods are provided for utilizing rules for placement of objects in storage in a manner that improves retrieval times relative to a default ordering utilized by an object storage system. For example, a request to store an object in a persistent storage of a data storage system may be received, metadata associated with the request may then be parsed to identify a signal for placement of the object within the persistent storage, and a rule may be identified for placement of objects associated with that signal, such as by indicating a desired grouping or ordering of objects associated with the signal. A particular storage location for the object may then be determined within the persistent storage based at least in part on the signal, the rule, and previously determined storage locations of one or more other data objects associated with the signal.

A data storage network is provided. The network includes a client connected to the data storage network; a plurality nodes on the data storage network, wherein each data node has two or more RAID controllers, wherein a first RAID controller of a first node is configured to receive a data storage request from the client and to generate RAID parity data on a data set received from the client, and to store all of the generated RAID parity data on a single node of the plurality of nodes.

A hybrid drive and associated methods provide low-overhead storage of a hibernation file in the hybrid hard disk drive. During operation, the hybrid drive allocates a portion of solid-state memory in the drive that is large enough to accommodate a hibernation file associated with a host device of the hybrid drive. In addition to the erased memory blocks that are normally present during operation of the hybrid drive, the portion of solid-state memory allocated for accommodating the hibernation file may include over-provisioned memory blocks, blocks used to store a previous hibernation file that has been trimmed, and/or non-dirty blocks.

The subject disclosure is generally directed towards load balancing between storage processors based upon dynamic redirection statistics, in which load balancing includes changing a preferred path/a mounted file system from one storage processor to another. In one example, load balancing technology compares a current delta of directed and redirected I/O counts to a previous delta. If the result turns from negative to positive, that is, redirection is becoming prevalent, a load balancing threshold may be changed based upon the current delta value. Load balancing is thus based on the latest trend of I/O redirection.

There is provided an information processing system to increase a speed of returning identification information in response to a received command in the case where an identification information requesting command is received, the information processing system including: a plurality of processing devices each of which includes a storage unit configured to store an identification information piece; a management device configured to acquire the identification information piece from each of the plurality of the processing devices; and a communication device configured to communicate with an external device. The management device writes the identification information piece acquired from each of the plurality of the processing devices into the communication device. The communication device outputs a command received from the external device to one of the plurality of the processing devices on the basis of write orders of the identification information pieces written into the communication device by the management device.

An example method includes identifying, based on a request to write data to a volume provided by storage nodes in a storage node cluster, a cluster hierarchy associated with the storage node cluster, the cluster hierarchy identifying storage characteristics of the storage nodes, wherein the cluster hierarchy is based on data characterizing performance and storage capabilities of the storage nodes; based on the request, selecting a storage node for storing the data in the volume, the selecting being based, at least in part, on the storage characteristics identified by the cluster hierarchy and on one or more data distribution parameters associated with the storage volume; and transmitting the data to the storage node.

A computing system having memory components of different tiers. The computing system further includes a controller, operatively coupled between a processing device and the memory components, to: receive from the processing device first data access requests that cause first data movements across the tiers in the memory components; service the first data access requests after the first data movements; predict, by applying data usage information received from the processing device in a prediction model trained via machine learning, second data movements across the tiers in the memory components; and perform the second data movements before receiving second data access requests, where the second data movements reduce third data movements across the tiers caused by the second data access requests.

A computer-implemented method for end-to-end quality of service control in distributed systems may include (1) identifying a plurality of computing systems, wherein each computing system (a) is coupled to a storage resource for the computing system, (b) hosts a plurality of applications that share the storage resource coupled to the computing system, (c) hosts a quality of service agent that limits throughput utilization of the storage resource by each of the plurality of applications, and (d) copies input/output data generated by the applications to a secondary computing system, (2) determining a throughput capacity of the secondary computing system, and (3) providing feedback to at least one quality of service agent hosted by at least one computing system to further limit throughput utilization of at least one of a plurality of applications hosted by the computing system. Various other methods, systems, and computer-readable media are also disclosed.