Abstract: An apparatus and method for conditional quality of service in a processor. For example, one embodiment of a processor comprises: a plurality of processor resources to be allocated to a plurality of executed processes in accordance with a set of quality of service (QoS) rules; and conditional quality of service (QoS) circuitry/logic to monitor usage of the plurality of processor resources by the plurality of processes and to responsively modify an allocation of a first processor resource for a first process in response to detecting a first threshold value being reached in a second resource allocated to the first process.

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: Systems, methods, articles of manufacture, and apparatus for end-to-end hardware tracing in an Edge network are disclosed. An example compute device includes at least one memory, instructions in the compute device, and processing circuitry to execute the instructions to, in response to receiving detecting an object having a global group identifier, generate monitoring data corresponding to a respective process executing on the compute device, the monitoring data including a process identifier, index the monitoring data having the process identifier to the corresponding global group identifier, synchronize a time stamp of the monitoring data to a network time protocol corresponding to the global group identifier, and transmit the indexed and synchronized monitoring data as tracing data in to the a tracing datastore.

Abstract: An apparatus and method for conditional quality of service in a processor. For example, one embodiment of a processor comprises: a plurality of processor resources to be allocated to a plurality of executed processes in accordance with a set of quality of service (QoS) rules; and conditional quality of service (QoS) circuitry/logic to monitor usage of the plurality of processor resources by the plurality of processes and to responsively modify an allocation of a first processor resource for a first process in response to detecting a first threshold value being reached in a second resource allocated to the first process.

Abstract: A storage resource may be coupled via an interface with a processing device that receives a data object associated with a request to store the data object at the storage resource. A type of workload associated with the data object that is associated with the request to store the data object at the storage resource may be identified. A size of a data block of the data object may be determined based on the identified type of workload.

Abstract: Apparatuses, systems and methods are disclosed herein that generally relate to distributed network storage and filesystems, such as Ceph, Hadoop®, or other big data storage environments utilizing resources and/or storage that may be remotely located across a communication link such as a network. More particularly, disclosed are techniques for one or more machines or devices to scrub data on remote resources and/or storage without requiring all or substantially all of the remote data to be read across the communication link in order to scrub it. Some disclosed embodiments discuss having validation be relatively local to storage(s) being scrubbed, and some embodiments discuss only providing to the one or more machines scrubbing data selected results of the relatively local scrubbing over the communication link.

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: Apparatuses, systems and methods are disclosed herein that generally relate to distributed network storage and filesystems, such as Ceph, Hadoop®, or other big data storage environments utilizing resources and/or storage that may be remotely located across a communication link such as a network. More particularly, disclosed are techniques for one or more machines or devices to scrub data on remote resources and/or storage without requiring all or substantially all of the remote data to be read across the communication link in order to scrub it. Some disclosed embodiments discuss having validation be relatively local to storage(s) being scrubbed, and some embodiments discuss only providing to the one or more machines scrubbing data selected results of the relatively local scrubbing over the communication link.

Abstract: Apparatus and method for storage accessibility are disclosed herein. In some embodiments, a compute node may include one or more memories; and one or more processors in communication with the one or more memories, wherein the one or more processors include a module that is to select one or more particular storage devices of a plurality of storage devices distributed over the network in response to a data request made by an application that executes on the one or more processors, the one or more particular storage devices selected to fulfill the data request, and the module selects the one or more particular storage devices in accordance with a data object associated with the data request and one or more of current hardware operational state of respective storage devices of the plurality of storage devices and current performance characteristics of the respective storage devices of the plurality of storage devices.

Abstract: Techniques are described for achieving durability of a data object stored in a network storage system. In some embodiments, erasure coding is applied to break a data object into fragments wherein the original data object can be recovered with fewer than all of the fragments. These fragments are stored on multiple storage nodes in a distributed storage cluster of a network storage system. So that individual storage nodes have knowledge of the state of the stored data object, a proxy server acing as a central agent can wait for acknowledgments indicating that the fragments have been successfully stored at the storage nodes. If the proxy server receives successful write responses from a sufficient number of the storage nodes, the proxy server can report that the data object is durably stored by placing markers on the storage nodes.