Abstract: A method is described. The method includes performing the following with a storage end transaction agent within a storage sled of a rack mounted computing system: receiving a request to perform storage operations with one or more storage devices of the storage sled, the request specifying an all-or-nothing semantic for the storage operations; recognizing that all of the storage operations have successfully completed; after all of the storage operations have successfully completed, reporting to a CPU side transaction agent that sent the request that all of the storage operations have successfully completed.

Abstract: Technologies for managing replica caching in a distributed storage system include a storage manager device. The storage manager device is configured to receive a data write request to store replicas of data. Additionally, the storage manager device is configured to designate one of the replicas as a primary replica, select a first storage node to store the primary replica of the data in a cache storage and at least a second storage node to store a non-primary replica of the data in a non-cache storage. The storage manager device is further configured to include a hint in a first replication request to the first storage node that the data is to be stored in the cache storage of the first storage node as the primary replica. Further, the storage manager device is configured to transmit replication requests to the respective storage nodes. Other embodiments are described and claimed.

Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.

Abstract: Technologies for reducing latency variation of stored data object requests include a proxy computing node communicatively coupled to a plurality of storage nodes. The proxy computing node is configured to determine whether to chunk a data object corresponding to a data object request received by the proxy computing node. Accordingly, the proxy computing node is configured to obtain a retrieval latency of the storage node and determine whether to chunk the data object based on the retrieval latency. The proxy computing node is further configured to, subsequent to a determination to chunk the data object, determine a chunk size (i.e., a portion of the data object) to be retrieved from the storage node and a remaining size of the data object at the storage node after the portion of the data object corresponding to the chunk request is received. Other embodiments are described and claimed.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Methods and apparatus related to framework and/or methodology for selective caching of Erasure Coded fragments in a distributed storage system are described. In one embodiment, a plurality of fragments of a data object are generated. Each of the plurality of fragments is Erasure Coded (EC) prior to storage at a storage node of a plurality of storage nodes. Each of the plurality of fragments is transmitted with a caching hint to indicate whether that fragment is to be cached at the storage node. Other embodiments are also disclosed and claimed.

Abstract: Examples may include techniques to monitor processing of I/O requests of an application being executed by a computing platform by collecting a trace of the I/O requests, the trace including an I/O class of each I/O request; replay the trace and automatically analyze possible cache configuration policies for using a cache during execution of the application by the computing platform; and determine an optimal cache configuration policy for the cache from the possible cache configuration policies. The optimal cache configuration policy may then be applied to use of the cache during subsequent execution of the application by the computing platform.

Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive a request from an application to write an image to a data storage system, the request comprising one or more quality of service parameters indicating a level of service requested by the application; partition the image into a plurality of image parts; upload the plurality of image parts to the data storage system in parallel, wherein if the level of service requested by the application comprises low latency: a plurality of redundant copies of each image part is to be uploaded to the data storage system in parallel; and each image part that fails to upload within an upload timeout threshold is to be re-uploaded to the data storage system; receive an acknowledgment from the data storage system that each image part has been uploaded; and notify the application that the image has been written to the data storage system.

Abstract: Technologies for fast distributed storage recovery include a distributed storage system that includes multiple controller nodes and multiple target nodes. Each controller node is coupled to a corresponding target node via a storage fabric. Each target node stores replica data. The system identifies a failed node and a corresponding node that was coupled to the failed node. If the failed node is a controller node, the corresponding node is a target node. If the failed node is a target node, the corresponding node is a controller node. The system instantiates a replacement node, adds the replacement node to the system, and couples the replacement node to the corresponding node. The system may direct a backup target node to copy replica data to the replacement target node via the storage fabric. Other embodiments are described and claimed.

Abstract: Technologies for managing replica caching in a distributed storage system include a storage manager device. The storage manager device is configured to receive a data write request to store replicas of data. Additionally, the storage manager device is configured to designate one of the replicas as a primary replica, select a first storage node to store the primary replica of the data in a cache storage and at least a second storage node to store a non-primary replica of the data in a non-cache storage. The storage manager device is further configured to include a hint in a first replication request to the first storage node that the data is to be stored in the cache storage of the first storage node as the primary replica. Further, the storage manager device is configured to transmit replication requests to the respective storage nodes. Other embodiments are described and claimed.

Abstract: To reduce the cost of ensuring the integrity of data stored in distributed data storage systems, a storage-side system provides data integrity services without the involvement of the host-side data storage system. Processes for storage-side data integrity include maintaining a block ownership map and performing data integrity checking and repair functions in storage target subsystems. The storage target subsystems are configured to efficiently manage data stored remotely using a storage fabric protocol such as NVMe-oF. The storage target subsystems can be implemented in a disaggregated storage computing system on behalf of a host-side distributed data storage system, such as software-defined storage (SDS) system.

Abstract: A method performed by a networking switch in an object storage system. The method includes receiving a first packet from a network comprising an object ID and a data object. The method includes generating a replica for the data object. The method includes generating an object ID for the replica of the data object. The method includes determining a destination storage node for the replica of the data object. The method includes sending a second packet from the networking switch to the destination storage node. The second packet includes the object ID for the replica of the data object and the replica of the data object.

Abstract: Technologies for managing replica caching in a distributed storage system include a storage manager device. The storage manager device is configured to receive a data write request to store replicas of data. Additionally, the storage manager device is configured to designate one of the replicas as a primary replica, select a first storage node to store the primary replica of the data in a cache storage and at least a second storage node to store a non-primary replica of the data in a non-cache storage. The storage manager device is further configured to include a hint in a first replication request to the first storage node that the data is to be stored in the cache storage of the first storage node as the primary replica. Further, the storage manager device is configured to transmit replication requests to the respective storage nodes. Other embodiments are described and claimed.

Abstract: Technologies for providing efficient distributed data storage in a disaggregated architecture include a compute sled. The compute sled includes a network interface controller and circuitry to receive, through a network and with the network interface controller, a data access request from a compute device. The data access request includes a data payload indicative of an object to be stored. The circuitry is also to map the object to a set of multiple data storage sleds for distributed storage of the object. Additionally, the circuitry is to send a write request with the object and an object identifier to the mapped data storage sleds to store the object in one or more data storage devices located on each data storage sled and concurrently send metadata without the object to one or more other compute sleds associated with the mapped data storage sleds. Other embodiments are also described and claimed.

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a plurality of images captured by a camera. The processor: accesses visual data associated with an image captured by the camera; determines a tile size parameter for partitioning the visual data into a plurality of tiles; partitions the visual data into the plurality of tiles based on the tile size parameter, wherein the plurality of tiles corresponds to a plurality of regions within the image; compresses the plurality of tiles into a plurality of compressed tiles, wherein each tile is compressed independently; generates a tile-based representation of the image, wherein the tile-based representation comprises an array of the plurality of compressed tiles; and stores the tile-based representation of the image on the storage device.

Abstract: Technologies for separating control plane management from data plane management for distributed storage in a disaggregated architecture include a compute sled. The compute sled includes a network interface controller and circuitry to receive, through a network and with the network interface controller, a data access request from a compute device. The data access request includes a data payload indicative of an object to be stored. The circuitry is also to map the object to a set of multiple data storage sleds for distributed storage of the object. Additionally, the circuitry is to send, through the network and with a local data bus protocol mapped onto a network protocol, a write request to the mapped data storage sleds to store the object in one or more data storage devices located on each data storage sled. Other embodiments are also described and claimed.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: In one embodiment, switch-assisted data storage network traffic management in a data storage center consolidates data placement requests and data placement acknowledgements to reduce network traffic. Other aspects are described herein.

Abstract: Examples may include techniques to monitor processing of I/O requests of an application being executed by a computing platform by collecting a trace of the I/O requests, the trace including an I/O class of each I/O request; replay the trace and automatically analyze possible cache configuration policies for using a cache during execution of the application by the computing platform; and determine an optimal cache configuration policy for the cache from the possible cache configuration policies. The optimal cache configuration policy may then be applied to use of the cache during subsequent execution of the application by the computing platform, thereby improving performance.

Abstract: A multiple data protection scheme logic enables applications to use objects encoded with different data protection schemes in a single namespace. Instead of configuring data protection policy supporting only one data protection scheme in a single namespace, flexible data protection policies that allow different data protection schemes in the single namespace promote more efficient use of storage and processor resources. Smaller objects can use data protection schemes that favor more efficient processor performance over increased storage costs such as replication, whereas larger objects can use data protection schemes that favor decreased storage costs over less efficient processor performance such as erasure coding.