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Generation of microservices from a monolithic application based on runtime traces

專利號
US11176027B1
公開日期
2021-11-16
申請人
International Business Machines Corporation（US NY Armonk）
發(fā)明人
Jin Xiao; Anup Kalia; Chen Lin; Raghav Batta; Saurabh Sinha; John Rofrano; Maja Vukovic
IPC分類
G06F11/36; G06F11/32
技術(shù)領(lǐng)域
monolithic,or,runtime,can,model,cluster,causal,traces,generation,classes
地域： NY NY Armonk

摘要

Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

說明書

If it is determined at 706 that one or more potential microservice candidates of the monolithic application are not identified, at 710, computer-implemented method 700 can comprise modifying (e.g., via microservice generation system 102 and/or model component 108) the window size used by the model (e.g., the window size described above with reference to FIG. 1 that can be used to generate the one or more positive sample pairs that can constitute the one or more potential microservice candidates of the monolithic application) and/or executing (e.g., via microservice generation system 102 and/or collection component 202) different business function test cases using the monolithic application (e.g., business function test cases other than those described above with reference to FIG. 1). For example, at 710, computer-implemented method 700 can comprise modifying the window size used by the model from a window size of 3, for instance, to a window size of 4, for instance.

At 712, computer-implemented method 700 can comprise re-training (e.g., via microservice generation system 102) the model to learn the cluster assignments and/or graph embeddings of the Java classes in the monolithic application based on the runtime traces of the different business function test cases executed at 710 and/or the modified window size.

權(quán)利要求

1
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