Patents by Inventor John Rofrano
John Rofrano has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11940904Abstract: 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.Type: GrantFiled: April 13, 2023Date of Patent: March 26, 2024Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jin Xiao, Anup Kalia, Chen Lin, Raghav Batta, Saurabh Sinha, John Rofrano, Maja Vukovic
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Patent number: 11922181Abstract: Techniques regarding discovering configuration information for one or more computer applications are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a configuration component that can discover configuration information associated with a containerized computer application. The configuration information can be characterized by a set of environment attributes extracted by querying a source code of the containerized computer application.Type: GrantFiled: September 14, 2021Date of Patent: March 5, 2024Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anup Kalia, John Rofrano, Jin Xiao, Mihir Choudhury, Elizabeth Daly, Oznur Alkan, Lambert Pouguem Wassi, Maja Vukovic
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Patent number: 11829766Abstract: Systems and techniques that facilitate compliance enforcement via service discovery analytics are provided. In various embodiments, a system can comprise a receiver component that can access one or more declarative deployment manifests associated with a computing application. In various instances, the system can comprise a dependency component that can build a dependency topology based on the one or more declarative deployment manifests. In various cases, the dependency topology can indicate dependencies among one or more computing objects that are declared by the one or more declarative deployment manifests. In various aspects, the system can comprise a compliance component that can determine, based on the dependency topology, whether the computing application satisfies one or more compliance standards.Type: GrantFiled: May 4, 2021Date of Patent: November 28, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Constantin Mircea Adam, Shripad Nadgowda, James R. Doran, John Rofrano
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Publication number: 20230251962Abstract: 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.Type: ApplicationFiled: April 13, 2023Publication date: August 10, 2023Inventors: Jin Xiao, Anup Kalia, Chen Lin, Raghav Batta, Saurabh Sinha, John Rofrano, Maja Vukovic
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Patent number: 11663115Abstract: 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.Type: GrantFiled: October 13, 2021Date of Patent: May 30, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jin Xiao, Anup Kalia, Chen Lin, Raghav Batta, Saurabh Sinha, John Rofrano, Maja Vukovic
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Publication number: 20230085488Abstract: Techniques regarding discovering configuration information for one or more computer applications are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a configuration component that can discover configuration information associated with a containerized computer application. The configuration information can be characterized by a set of environment attributes extracted by querying a source code of the containerized computer application.Type: ApplicationFiled: September 14, 2021Publication date: March 16, 2023Inventors: Anup KALIA, John Rofrano, Jin Xiao, MIHIR CHOUDHURY, Elizabeth Daly, Oznur Alkan, Lambert Pouguem Wassi, Maja Vukovic
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Patent number: 11550571Abstract: Technology for dividing a monolith computer program into a plurality of functions and creating a microservice for each function of the model's computer program. The micro-services are semantically and functionally equivalent, taken collectively, to the model's computer program from which they came. In some embodiments, the monolith computer program is written in an object oriented programming language suitable for execution by a virtual machine (VM). In some embodiments, the microservices are in representational state transfer (REST) form and respectively corresponding application programming interface (API).Type: GrantFiled: September 17, 2020Date of Patent: January 10, 2023Assignee: International Business Machines CorporationInventors: Jin Xiao, Anup Kalia, Saurabh Sinha, John Rofrano, Maja Vukovic
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Patent number: 11526770Abstract: Systems, computer-implemented methods, and computer program products that can facilitate computing environment migration plan recommendation based on one or more latent entity computing property preferences 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 an analysis component that employs a model to discover a latent computing property preference of an entity operating in a first computing environment. The computer executable components can further comprise a recommendation component that recommends a computing environment migration plan to a second computing environment based on the latent computing property preference of the entity. In some embodiments, the recommendation component recommends discovered latent computing property preferences of the entity to construct the computing environment migration plan.Type: GrantFiled: June 20, 2019Date of Patent: December 13, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jinho Hwang, Maja Vukovic, John Rofrano, Anup Kalia, Ya Bin Dang, Jie Ma, Lijun Mei
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Patent number: 11520783Abstract: A system, program product, and method for use with an artificial intelligence (AI) platform to dynamically amend a knowledge base responsive to query evaluating and processing. A received or detected query is subject to natural language processing to identify, annotate, and map one or more query tokens against a knowledge base. The query tokens are evaluated against the knowledge base to identify one or more query tokens absent from the knowledge base and leverage a neural network to predict a probability relationship between the query tokens absent from the knowledge base and one or more tokens populated in the knowledge base. The natural language (NL) query is translated to a structured query language (SQL) and the SQL query is executed and evaluated, and the knowledge base is selectively and dynamically amended subject to the SQL evaluation.Type: GrantFiled: September 19, 2019Date of Patent: December 6, 2022Assignee: International Business Machines CorporationInventors: Chen Lin, John Rofrano, Anup Kalia, Maja Vukovic, Jinho Hwang, Jie Ma, Lijun Mei, Ya Bin Dang
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Patent number: 11501165Abstract: Embodiments relate to a system, program product, and method for training a contrastive neural network (CNN) in an active learning environment. A neural network is pre-trained with labeled data of a historical (first) dataset. The CNN is trained for a new (second) dataset by applying the new dataset and contrasting the new dataset against the historical dataset to extract novel patterns. Weights of a knowledge operator from the pre-trained neural network are borrowed. Features novel to the new dataset are learned, including updating weights of the knowledge operator. The borrowed knowledge operator weights are combined with the updated knowledge operator weights. The CNN is leveraged to predict one or more labels for the new dataset as output data.Type: GrantFiled: March 4, 2020Date of Patent: November 15, 2022Assignee: International Business Machines CorporationInventors: Chen Lin, Hongtan Sun, John Rofrano, Maja Vukovic
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Publication number: 20220357954Abstract: Systems and techniques that facilitate compliance enforcement via service discovery analytics are provided. In various embodiments, a system can comprise a receiver component that can access one or more declarative deployment manifests associated with a computing application. In various instances, the system can comprise a dependency component that can build a dependency topology based on the one or more declarative deployment manifests. In various cases, the dependency topology can indicate dependencies among one or more computing objects that are declared by the one or more declarative deployment manifests. In various aspects, the system can comprise a compliance component that can determine, based on the dependency topology, whether the computing application satisfies one or more compliance standards.Type: ApplicationFiled: May 4, 2021Publication date: November 10, 2022Inventors: Constantin Mircea Adam, Shripad Nadgowda, James R. Doran, John Rofrano
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Patent number: 11416243Abstract: Systems and techniques that facilitate automated recommendation of microservice decomposition strategies for monolithic applications are provided. In various embodiments, a community detection component can detect a disjoint code cluster in a monolithic application based on a code property graph characterizing the monolithic application. In various aspects, the code property graph can be based on a temporal code evolution of the monolithic application. In various embodiments, a topic modeling component can identify a functional purpose of the disjoint code cluster based on a business document corpus corresponding to the monolithic application. In various embodiments, a microservices component can recommend a microservice to replace the disjoint code cluster based on the functional purpose.Type: GrantFiled: January 23, 2020Date of Patent: August 16, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jinho Hwang, Anup Kalia, Jin Xiao, Malik Jackson, Maja Vukovic, John Rofrano, Senthil Kumar Kumarasamy Mani
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Patent number: 11360877Abstract: A method, system, and computer program product for decomposing monolithic applications to form microservices are provided. The method identifies a set of classes within a monolithic application. A set of horizontal clusters are generated by performing horizontal clustering to the set of classes to decompose the classes based on a first functionality type. The method generates a set of vertical clusters by performing vertical clustering to the set of classes to decompose the classes based on a second functionality type. A subset of classes occurring in a common horizontal cluster and vertical cluster are identified as a functional unit. The method merges one or more functional units to form a microservice.Type: GrantFiled: September 14, 2020Date of Patent: June 14, 2022Assignee: International Business Machines CorporationInventors: Chen Lin, Anup Kalia, Jin Xiao, John Rofrano, Saurabh Sinha, Raghav Batta, Maja Vukovic
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Publication number: 20220083334Abstract: Technology for dividing a monolith computer program into a plurality of functions and creating a microservice for each function of the model's computer program. The micro-services are semantically and functionally equivalent, taken collectively, to the model's computer program from which they came. In some embodiments, the monolith computer program is written in an object oriented programming language suitable for execution by a virtual machine (VM). In some embodiments, the microservices are in representational state transfer (REST) form and respectively corresponding application programming interface (API).Type: ApplicationFiled: September 17, 2020Publication date: March 17, 2022Inventors: Jin Xiao, Anup Kalia, Saurabh Sinha, John Rofrano, Maja Vukovic
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Publication number: 20220083451Abstract: A method, system, and computer program product for decomposing monolithic applications to form microservices are provided. The method identifies a set of classes within a monolithic application. A set of horizontal clusters are generated by performing horizontal clustering to the set of classes to decompose the classes based on a first functionality type. The method generates a set of vertical clusters by performing vertical clustering to the set of classes to decompose the classes based on a second functionality type. A subset of classes occurring in a common horizontal cluster and vertical cluster are identified as a functional unit. The method merges one or more functional units to form a microservice.Type: ApplicationFiled: September 14, 2020Publication date: March 17, 2022Inventors: Chen Lin, Anup KALIA, Jin Xiao, John Rofrano, Saurabh Sinha, Raghav Batta, Maja Vukovic
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Publication number: 20220035732Abstract: 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.Type: ApplicationFiled: October 13, 2021Publication date: February 3, 2022Inventors: Jin Xiao, Anup Kalia, Chen Lin, Raghav Batta, Saurabh Sinha, John Rofrano, Maja Vukovic
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Patent number: 11221846Abstract: A system can include a memory that stores computer-executable components and a processor, operably coupled to the memory, that can execute the computer-executable components stored in the memory. The computer-executable components can include a model generator component that can execute a search function on an application based on a set of application component topics to identify application components of the application that facilitate execution of the application. A configuration property extractor component can analyze the application based on the application components and can determine configuration properties associated with operating the application components. An application builder component can process the application components and the configuration properties and can generate instructions that facilitate execution of the application in a target computing environment.Type: GrantFiled: March 19, 2020Date of Patent: January 11, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anup Kalia, Jin Xiao, Jinho Hwang, Maja Vukovic, John Rofrano
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Patent number: 11221855Abstract: Systems, computer-implemented methods, and computer program products to facilitate transformation of an enterprise application into a cloud native container 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 an analysis component that employs a model to discover attributes of an enterprise application. The computer executable components can further comprise a transformation component that generates artifacts based on the attributes to transform the enterprise application into a cloud native container.Type: GrantFiled: March 6, 2020Date of Patent: January 11, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jin Xiao, Anup Kalia, Jinho Hwang, Maja Vukovic, John Rofrano
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Publication number: 20220004428Abstract: An approach to optimized migration of user assets to the cloud using artificial intelligence is presented. This approach may user input and artificial intelligence trained with historical knowledge to generate rules. Migration models may be generated from the rules. A user may verify the migration models were successful. A task portfolio may be generated from the verified wave migration models. Runbook applications may be generated from the task portfolio and the migration may be executed using the runbooks.Type: ApplicationFiled: July 2, 2020Publication date: January 6, 2022Inventors: Hongtan Sun, John Rofrano, Maja Vukovic, Chen Lin
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Patent number: 11176027Abstract: 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.Type: GrantFiled: April 22, 2020Date of Patent: November 16, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jin Xiao, Anup Kalia, Chen Lin, Raghav Batta, Saurabh Sinha, John Rofrano, Maja Vukovic