发明名称 MACHINE LEARNING-DERIVED UNIVERSAL CONNECTOR
摘要 In a computer-implemented method for endpoint management, a plurality of messages communicated between a target endpoint and a client are recorded, in a computer-readable memory. Ones of the messages are clustered into respective groups, where the respective groups correspond to respective operation types of the ones of the messages included therein. For the respective operation types, respective message structures used by the target endpoint are determined based on commonalities among the ones of the messages of the respective groups corresponding to the operation types. For one of the respective operation types, a request to the target endpoint is generated in accordance with a corresponding one of the respective message structures used by the target endpoint. Related computer systems and computer program products are also discussed.
申请公布号 US2016267170(A1) 申请公布日期 2016.09.15
申请号 US201514656158 申请日期 2015.03.12
申请人 CA, INC. 发明人 Hastings Nathan Allin;Versteeg Steven Cornelis;Bird John Sinclair;Yao Xien
分类号 G06F17/30;G06N5/04;H04L29/08 主分类号 G06F17/30
代理机构 代理人
主权项 1. A computer-implemented method, comprising: recording, in a computer-readable memory, a plurality of messages communicated between a target endpoint and a client; clustering ones of the messages into respective groups, wherein the respective groups correspond to respective operation types of the ones of the messages included therein; determining, for the respective operation types, respective message structures used by the target endpoint based on commonalities among the ones of the messages of the respective groups corresponding thereto; and generating, for one of the respective operation types, a request to the target endpoint in accordance with a corresponding one of the respective message structures used by the target endpoint, wherein the recording, the clustering, the determining, and the generating comprise operations performed by a processor.
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