Messaging queue service API optimization system

    公开(公告)号:US10326720B2

    公开(公告)日:2019-06-18

    申请号:US15588222

    申请日:2017-05-05

    IPC分类号: H04L12/58 G06F9/54

    摘要: A method of providing a message queue service includes a first request being received by a computing device from an application to connect to a messaging queue manager provided by a messaging queue service that manages a messaging queue for at least one application. The application connects to the messaging queue manager by executing a single connect API command that causes the execution of a first plurality of commands in a messaging queue service API that provide for a connection of the application to the messaging queue manager. A second request is received from the application to open a message queue. The message queue managed by the messaging queue manager opens by executing a single open queue API command that causes the execution of a second plurality of commands that provide for the opening of the message queue.

    TOPOLOGY EXPLORER FOR MESSAGE-ORIENTED MIDDLEWARE USING MACHINE LEARNING TECHNIQUES

    公开(公告)号:US20240311655A1

    公开(公告)日:2024-09-19

    申请号:US18121252

    申请日:2023-03-14

    IPC分类号: G06N5/022

    CPC分类号: G06N5/022

    摘要: Methods, apparatus, and processor-readable storage media for implementing topology explorers for message-oriented middleware using machine learning techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to at least one messaging topology associated with at least one message-oriented middleware; predicting one or more anomalies associated with the at least one messaging topology by processing at least a portion of the obtained data using a first set of one or more machine learning techniques; recommending one or more alternate messaging topologies associated with the at least one message-oriented middleware by processing at least a portion of the one or more predicted anomalies and at least a portion of the obtained data using a second set of one or more machine learning techniques; and performing one or more automated actions based on the one or more predicted anomalies and/or the one or more recommended alternate messaging topologies.

    MESSAGE ORIENTED MIDDLEWARE CLUSTER SYNCHRONIZATION

    公开(公告)号:US20230010417A1

    公开(公告)日:2023-01-12

    申请号:US17370384

    申请日:2021-07-08

    IPC分类号: G06F9/54 G06N20/00

    摘要: A method comprises collecting message-oriented-middleware system parameters from a plurality of message-oriented-middleware clusters, analyzing the parameters using one or more machine learning algorithms, and predicting, based at least in part on the analyzing, at least one anomaly in a message-oriented-middleware cluster of the plurality of message-oriented-middleware clusters. In the method, message metadata is collected from the message-oriented-middleware cluster, and at least part of the message metadata is transmitted to one or more remaining ones of the plurality of message-oriented-middleware clusters. At least the part of the message metadata corresponds to messaging operations to be transferred from the message-oriented-middleware cluster to the one or more remaining ones of the plurality of message-oriented-middleware clusters.