DISTRIBUTABLE HASH FILTER FOR NONPROBABILISTIC SET INCLUSION

    公开(公告)号:US20250077498A1

    公开(公告)日:2025-03-06

    申请号:US18823437

    申请日:2024-09-03

    Abstract: In certain embodiments, a method includes recursively performing a procedure that includes using an allowed set of object identifiers and a hash function to update a bit array, using a disallowed set of object identifiers and the hash function to further update the bit array where collisions occur, repeating the process with a new allowed set that includes object identifiers from the original allowed set that collided with the disallowed set and a new hash function, until reaching a round where no collisions occurred, generating a data structure that includes the bit arrays created during each recursive round, and compressing the data structure.

    Distributable hash filter for nonprobabilistic set inclusion

    公开(公告)号:US12105691B1

    公开(公告)日:2024-10-01

    申请号:US18461128

    申请日:2023-09-05

    CPC classification number: G06F16/2255 H03M7/702

    Abstract: In certain embodiments, a method includes recursively performing a procedure that includes using an allowed set of object identifiers and a hash function to update a bit array, using a disallowed set of object identifiers and the hash function to further update the bit array where collisions occur, repeating the process with a new allowed set that includes object identifiers from the original allowed set that collided with the disallowed set and a new hash function, until reaching a round where no collisions occurred, generating a data structure that includes the bit arrays created during each recursive round, and compressing the data structure.

    Automated network analysis using a sensor

    公开(公告)号:US11611500B2

    公开(公告)日:2023-03-21

    申请号:US17388156

    申请日:2021-07-29

    Abstract: An example method may include blocks to initiate a network performance analysis on the enterprise network; and receive a translated recording from a backend computing device to be executed as part of the network performance analysis. Additional blocks may add the translated recording to a set of tests in a queue to be executed on the enterprise network; and execute a primary set of low-level instructions of the translated recording using a headless browser. Further blocks may in response to a failed result of the primary set of low-level instructions, execute an alternative set of low-level instructions using the headless browser. Furthermore, blocks may, record, in an activity log, results of executing the translated recording, including at least a total execution time of the executed low-level instructions; and upload the activity log to the backend computing device.

    AUTOMATED NETWORK ANALYSIS USING A SENSOR

    公开(公告)号:US20230031231A1

    公开(公告)日:2023-02-02

    申请号:US17388156

    申请日:2021-07-29

    Abstract: An example method may include blocks to initiate a network performance analysis on the enterprise network; and receive a translated recording from a backend computing device to be executed as part of the network performance analysis. Additional blocks may add the translated recording to a set of tests in a queue to be executed on the enterprise network; and execute a primary set of low-level instructions of the translated recording using a headless browser. Further blocks may in response to a failed result of the primary set of low-level instructions, execute an alternative set of low-level instructions using the headless browser. Furthermore, blocks may, record, in an activity log, results of executing the translated recording, including at least a total execution time of the executed low-level instructions; and upload the activity log to the backend computing device.

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