Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load.

Abstract: A shared counter resource, such as a register, is disclosed in the hardware, where the register representing how much free space there is in the command queue is accessible to one or more processing elements. When a processing element reads the “reservation” register, the hardware automatically decrements the available free space by a preconfigured amount (e.g., 1) and returns the value of the free space immediately prior to the read/reservation. If the read returns 0 (or a number less than the preconfigured amount), there was insufficient free space to satisfy the request. In the event there was insufficient space to satisfy the request the reservation register may be configured to reserve however much space was available or to not reserve any space at all. Any number of processing elements may read these registers and various scenarios are described where the input and output queues are accessible via various processing elements.

Abstract: Streaming media network parameters are measured using an electronic system and displayed directly to a user or transmitted via an electronic interface such as an existing system network conduit, either in or out-of-band. A scalable hardware and/or software compute engine filters and reduces network parameters to simplify tracking the instantaneous and long term streaming media performance of the network. Hence, the entire set of active media streams is continuously monitored concurrently, thereby providing the ability to detect impairments as well as predict impending impairments. In one example, an existing packetized network conduit containing streaming media is tapped to concurrently and objectively analyze the streaming media streams, producing statistics (such as delay factor and media loss rate) and alarm-type events according to predetermined rules. Tapping the existing packetized network in multiple points provides comparison points and assists in pinpointing the source(s) of the impairment(s).

Abstract: A simplified host accesses SATA and SAS storage media devices by abstracting the SATA and SAS protocols with one full duplex protocol that supports full command queuing to each storage media device, whether SATA or SAS, where the abstraction protocol is performance-centric and supports common high-level read and write access to a pool of storage media devices, each of which may have a SATA or SAS interface. The abstraction protocol is link-agnostic and may be carried via a multiplicity of direct attach or networked interfaces, including but not limited to PCIe, Ethernet (e.g., 1 GbE, 10 GbE, 40 GbE, or 100 GbE), Infiniband, ThunderBolt, Firewire, USB, and/or custom interfaces. The abstraction protocol also supports communicating with port expanders and port multipliers.

Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load.

Abstract: A storage controller controlling a plurality of storage media devices receives one or more commands from a queue representing a load, identifies a minimum performance level required for the load, identifies a first set of weighted storage regions having a slow access rate across the plurality of storage media devices and a second set of weighted storage regions having a fast access rate in the plurality of storage media devices, identifies a subset of storage regions within the first set of weighted storage regions having a slow access rate that satisfies the identified minimum performance level, and distributes the load based on the identified minimum performance level by utilizing only the subset of storage regions within the first set of weighted storage regions having the slow access rate and holding the second storage region having the fast access rate in reserve.

Abstract: A simplified host accesses SATA and SAS storage media devices by abstracting the SATA and SAS protocols with one full duplex protocol that supports full command queuing to each storage media device, whether SATA or SAS, where the abstraction protocol is performance-centric and supports common high-level read and write access to a pool of storage media devices, each of which may have a SATA or SAS interface. The abstraction protocol is link-agnostic and may be carried via a multiplicity of direct attach or networked interfaces, including but not limited to PCIe, Ethernet (e.g., 1 GbE, 10 GbE, 40 GbE, or 100 GbE), Infiniband, ThunderBolt, Firewire, USB, and/or custom interfaces.

Abstract: A storage controller controlling a plurality of storage media devices receives one or more commands from a queue representing a load, identifies a first set of weighted storage region having a slow access rate in the plurality of storage media devices and a second set of weighted storage regions having a fast access rate in the plurality of storage media devices, computes an optimal sustained performance level as function of the first set of weighted storage regions having the slow access rate and the second set of weighted storage regions having the fast access rate, and distributes load based on said computed optimal sustained performance level.

Abstract: A shared counter resource, such as a register, is disclosed in the hardware, where the register representing how much free space there is in the command queue is accessible to one or more processing elements. When a processing element reads the “reservation” register, the hardware automatically decrements the available free space by a preconfigured amount (e.g., 1) and returns the value of the free space immediately prior to the read/reservation. If the read returns 0 (or a number less than the preconfigured amount), there was insufficient free space to satisfy the request. In the event there was insufficient space to satisfy the request the reservation register may be configured to reserve however much space was available or to not reserve any space at all. Any number of processing elements may read these registers and various scenarios are described where the input and output queues are accessible via various processing elements.

Abstract: A storage controller controlling said plurality of storage media devices receives one or more commands from a queue representing a load, identifies a set of weighted storage regions having the mid-range access rate to target a mid-range performance level that is enough to service the load; and distributes the load based on the mid-range performance level by utilizing only the set of weighted storage regions having the mid-range access rate thereby targeting the mid-range performance level that is enough to service the load.

Abstract: A storage controller controlling a plurality of storage media devices receives one or more commands from a queue representing a load, identifies one or more weighted fast access storage regions within addressable storage regions across the plurality of storage media devices having a fast access rate, distributes load by utilizing only the weighted fast access storage regions within the addressable storage regions across the plurality of storage media devices having the fast access rate.

Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load based on fill percentages of storage media devices.

Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load where such a positive bias and/or negative bias may be used to influence temperature of storage media devices.

Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load to influence where a particular data type gets stored.

Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load where such a positive bias and/or negative bias may be used to influence temperature ranges associated with storage media devices.

Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load based on write rate of storage media devices.

Abstract: An apparent load is determined based on assigning weightings to commands based on various factors including, but not limited to, the limitations of the underlying storage media device(s), where the command queue fullness is viewed from that perspective rather than simply the number of commands outstanding in a storage media device. Also disclosed is the use of a positive bias and a negative bias to artificially influence the apparent load based on the read rate of storage media devices.

Abstract: A shared counter resource, such as a register, is disclosed in the hardware, where the register representing how much free space there is in the command queue is accessible to one or more processing elements. When a processing element reads the “reservation” register, the hardware automatically decrements the available free space by a preconfigured amount (e.g., 1) and returns the value of the free space immediately prior to the read/reservation. If the read returns 0 (or a number less than the preconfigured amount), there was insufficient free space to satisfy the request. In the event there was insufficient space to satisfy the request the reservation register may be configured to reserve however much space was available or to not reserve any space at all. Any number of processing elements may read these registers and various scenarios are described where the input and output queues are accessible via various processing elements.

Abstract: Streaming media network parameters are measured using an electronic system and displayed directly to a user or transmitted via an electronic interface such as an existing system network conduit, either in or out-of-band. A scalable hardware and/or software compute engine filters and reduces network parameters to simplify tracking the instantaneous and long term streaming media performance of the network. Hence, the entire set of active media streams is continuously monitored concurrently, thereby providing the ability to detect impairments as well as predict impending impairments. In one example, an existing packetized network conduit containing streaming media is tapped to concurrently and objectively analyze the streaming media streams, producing statistics (such as delay factor and media loss rate) and alarm-type events according to predetermined rules. Tapping the existing packetized network in multiple points provides comparison points and assists in pinpointing the source(s) of the impairment(s).

Abstract: Streaming media network parameters are measured using an electronic system and displayed directly to a user or transmitted via an electronic interface such as an existing system network conduit, either in or out-of-band. A scalable hardware and/or software compute engine filters and reduces network parameters to simplify tracking the instantaneous and long term streaming media performance of the network. Hence, the entire set of active media streams is continuously monitored concurrently, thereby providing the ability to detect impairments as well as predict impending impairments. In one example, an existing packetized network conduit containing streaming media is tapped to concurrently and objectively analyze the streaming media streams, producing statistics (such as delay factor and media loss rate) and alarm-type events according to predetermined rules. Tapping the existing packetized network in multiple points provides comparison points and assists in pinpointing the source(s) of the impairment(s).