Abstract: Systems and methods for a flow-based data processing can begin with receiving a selection of a plurality of data processor blocks and a configuration mapping corresponding to the inputs and outputs of each data processor block. At a first compute node associated with a selected data source, an automated data flow can be initiated, wherein the automated data flow is generated from the configuration mapping and comprises a continuous sequence of one or more of the selected plurality of data processor blocks. Data from the selected data source is ingested into the automated data flow and is transformed by the continuous sequence of data processor blocks. The transformed ingested data is transmitted from the automated data flow to a second compute node associated with a selected data destination, via a data accelerator.

Abstract: Systems and methods for a flow-based data processing can begin with receiving a selection of a plurality of data processor blocks and a configuration mapping corresponding to the inputs and outputs of each data processor block. At a first compute node associated with a selected data source, an automated data flow can be initiated, wherein the automated data flow is generated from the configuration mapping and comprises a continuous sequence of one or more of the selected plurality of data processor blocks. Data from the selected data source is ingested into the automated data flow and is transformed by the continuous sequence of data processor blocks. The transformed ingested data is transmitted from the automated data flow to a second compute node associated with a selected data destination, via a data accelerator.

Abstract: Systems and methods for a flow-based data processing can begin with receiving a selection of a plurality of data processor blocks and a configuration mapping corresponding to the inputs and outputs of each data processor block. At a first compute node associated with a selected data source, an automated data flow can be initiated, wherein the automated data flow is generated from the configuration mapping and comprises a continuous sequence of one or more of the selected plurality of data processor blocks. Data from the selected data source is ingested into the automated data flow and is transformed by the continuous sequence of data processor blocks. The transformed ingested data is transmitted from the automated data flow to a second compute node associated with a selected data destination, via a data accelerator.

Abstract: Disclosed are systems, methods and computer readable mediums for optimized throughput of an object based storage system. The systems, methods and computer readable mediums including receiving an I/O request to the storage system, determining a busy ratio based on a number of blocks available in a local cache and a queue size, determining an I/O speed to the storage system, the I/O speed based at least in part on the busy ratio and an upload speed, wherein the I/O speed does not exceed a current speed of the storage system, and executing the I/O request to the storage system at the I/O speed.

Abstract: Systems and methods for a flow-based data processing can begin with receiving a selection of a plurality of data processor blocks and a configuration mapping corresponding to the inputs and outputs of each data processor block. At a first compute node associated with a selected data source, an automated data flow can be initiated, wherein the automated data flow is generated from the configuration mapping and comprises a continuous sequence of one or more of the selected plurality of data processor blocks. Data from the selected data source is ingested into the automated data flow and is transformed by the continuous sequence of data processor blocks. The transformed ingested data is transmitted from the automated data flow to a second compute node associated with a selected data destination, via a data accelerator.

Abstract: Systems and methods for a flow-based data processing can begin with receiving a selection of a plurality of data processor blocks and a configuration mapping corresponding to the inputs and outputs of each data processor block. At a first compute node associated with a selected data source, an automated data flow can be initiated, wherein the automated data flow is generated from the configuration mapping and comprises a continuous sequence of one or more of the selected plurality of data processor blocks. Data from the selected data source is ingested into the automated data flow and is transformed by the continuous sequence of data processor blocks. The transformed ingested data is transmitted from the automated data flow to a second compute node associated with a selected data destination, via a data accelerator.

Abstract: Disclosed are systems, methods and computer readable mediums for optimized throughput of an object based storage system. The systems, methods and computer readable mediums including receiving an I/O request to the storage system, determining a busy ratio based on a number of blocks available in a local cache and a queue size, determining an I/O speed to the storage system, the I/O speed based at least in part on the busy ratio and an upload speed, wherein the I/O speed does not exceed a current speed of the storage system, and executing the I/O request to the storage system at the I/O speed.

Abstract: Systems and methods for a flow-based data processing can begin with receiving a selection of a plurality of data processor blocks and a configuration mapping corresponding to the inputs and outputs of each data processor block. At a first compute node associated with a selected data source, an automated data flow can be initiated, wherein the automated data flow is generated from the configuration mapping and comprises a continuous sequence of one or more of the selected plurality of data processor blocks. Data from the selected data source is ingested into the automated data flow and is transformed by the continuous sequence of data processor blocks. The transformed ingested data is transmitted from the automated data flow to a second compute node associated with a selected data destination, via a data accelerator.

Abstract: Disclosed are systems and methods for an optimal transmission rate for large quantities of data over a network using gambler strategies. The gambler strategies can include initiating a gambler of a generation including a plurality of gamblers and transmitting one or more packets for the gambler over a network at a transmission rate specified by the gambler. In response to a determination the gambler is finished the network to discharge. In response to a determination the generation is finished, determining a gain-loss of the generation and the plurality of gamblers can be adjusted to be inline with an inherent network data loss rate.

Abstract: Disclosed are systems and methods for an optimal transmission rate for large quantities of data over a network using gambler strategies. The gambler strategies can include initiating a gambler of a generation including a plurality of gamblers and transmitting one or more packets for the gambler over a network at a transmission rate specified by the gambler. In response to a determination the gambler is finished the network to discharge. In response to a determination the generation is finished, determining a gain-loss of the generation and the plurality of gamblers can be adjusted to be inline with an inherent network data loss rate.

Abstract: Disclosed are systems and methods for an optimal transmission rate for large quantities of data over a network using gambler strategies. The gambler strategies can include initiating a gambler of a generation including a plurality of gamblers and transmitting one or more packets for the gambler over a network at a transmission rate specified by the gambler. In response to a determination the gambler is finished the network to discharge. In response to a determination the generation is finished, determining a gain-loss of the generation and the plurality of gamblers can be adjusted to be inline with an inherent network data loss rate.

Abstract: Disclosed are systems and methods for an optimal transmission rate for large quantities of data over a network using gambler strategies. The gambler strategies can include initiating a gambler of a generation including a plurality of gamblers and transmitting one or more packets for the gambler over a network at a transmission rate specified by the gambler. In response to a determination the gambler is finished the network to discharge. In response to a determination the generation is finished, determining a gain-loss of the generation and the plurality of gamblers can be adjusted to be inline with an inherent network data loss rate.