AUTOMATED DATA FLOWS USING FLOW-BASED DATA PROCESSOR BLOCKS

    公开(公告)号:US20180254989A1

    公开(公告)日:2018-09-06

    申请号:US15973278

    申请日:2018-05-07

    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.

    Automated data flows using flow-based data processor blocks

    公开(公告)号:US10541930B2

    公开(公告)日:2020-01-21

    申请号:US15973278

    申请日:2018-05-07

    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.

    DYNAMIC POOL-BASED TIERING FOR SYNCHRONIZATION STORAGE

    公开(公告)号:US20190215363A1

    公开(公告)日:2019-07-11

    申请号:US16242648

    申请日:2019-01-08

    Inventor: Eric OLSON

    Abstract: Dynamic pool-based tiering is provided for a file system including a plurality of storage priority tiers each comprising one or more storage pools and associated volumes. Received data is written to a selected priority tier. Based on one or more transfer criteria, it is determined that a given data item stored in a source volume of a first priority tier should be transferred out of the first tier. The transfer criteria include a number of times the given data item has been accessed and an interaction history of the given data item. Based on an analysis of the transfer criteria, a target volume within a second priority tier of the file system where the given data item can be transferred to is identified. The given data item is transferred to the target volume of the second priority tier, and is removed from the source volume within the first priority tier.

    System and method for minimizing data loss in a network

    公开(公告)号:US09967198B2

    公开(公告)日:2018-05-08

    申请号:US15821638

    申请日:2017-11-22

    CPC classification number: H04L47/2416 H04L43/0829 H04L47/25 H04L49/206

    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.

    AUTOMATED DATA FLOWS USING FLOW-BASED DATA PROCESSOR BLOCKS

    公开(公告)号:US20200153744A1

    公开(公告)日:2020-05-14

    申请号:US16746032

    申请日:2020-01-17

    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.

    SYSTEM AND METHOD FOR MINIMIZING DATA LOSS IN A NETWORK

    公开(公告)号:US20180097737A1

    公开(公告)日:2018-04-05

    申请号:US15821638

    申请日:2017-11-22

    CPC classification number: H04L47/2416 H04L43/0829 H04L47/25 H04L49/206

    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.

Patent Agency Ranking