Performing Transactions Between Application Containers

    公开(公告)号:US20180032383A1

    公开(公告)日:2018-02-01

    申请号:US15222890

    申请日:2016-07-28

    CPC classification number: G06F9/546 G06F21/602

    Abstract: Various implementations disclosed herein provide a method for performing one or more transactions between application containers. In various implementations, the method includes transmitting a key request to a first network node within a cluster of network nodes that are configured to generate and maintain a distributed ledger. In some implementations, the key request indicates that the requested key is for one or more transactions between a first application container and a second application container. In various implementations, the method includes receiving a key in response to transmitting the key request. In some implementations, the key is valid for the one or more transactions between the first application container and the second application container. In various implementations, the method includes synthesizing, at the first application container, transaction data with the key. In various implementations, the method includes transmitting, by the first application container, the transaction data to the second application container.

    ADAPTIVE TELEMETRY BASED ON IN-NETWORK CROSS DOMAIN INTELLIGENCE

    公开(公告)号:US20180027309A1

    公开(公告)日:2018-01-25

    申请号:US15660882

    申请日:2017-07-26

    CPC classification number: H04Q9/00 G08C25/00

    Abstract: Disclosed are systems, methods, and computer-readable storage media for adaptive telemetry based on in-network cross domain intelligence. A telemetry server can receive at least a first telemetry data stream and a second telemetry data stream. The first telemetry data stream can provide data collected from a first data source and the second telemetry data stream can provide data collected from a second data source. The telemetry server can determine correlations between the first telemetry data stream and the second telemetry data stream that indicate redundancies between data included in the first telemetry data stream and the second telemetry data stream, and then adjust, based on the correlations between the first telemetry data stream and the second telemetry data stream, data collection of the second telemetry data stream to reduce redundant data included in the first telemetry data stream and the second telemetry data stream.

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