LOG-BASED DIAGNOSIS FOR DECLARATIVE-DEPLOYED APPLICATIONS
First Claim
Patent Images
1. A system, comprising:
- a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise;
a classification component that;
based on a labeled deployment declaration of an application, classifies a runtime log associated with the application, resulting in a classified runtime log; and
a training component that;
based on the classified runtime log, trains an aggregation model to represent a defined state of the application.
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Abstract
Techniques for log-based diagnosis for declarative-deployed applications can comprise: based on a labeled deployment declaration, classifying, by a device operatively coupled to a processor, a runtime log associated with an application, resulting in a classified runtime log. Techniques can also comprise: based on the classified runtime log, training, by the device, an aggregation model to represent a defined state of the application.
5 Citations
25 Claims
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1. A system, comprising:
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a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise; a classification component that; based on a labeled deployment declaration of an application, classifies a runtime log associated with the application, resulting in a classified runtime log; and a training component that; based on the classified runtime log, trains an aggregation model to represent a defined state of the application. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer program product that facilitates log-based diagnosis for declarative-deployed applications, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
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based on a labeled deployment declaration, classify a runtime log associated with the application, resulting in a classified runtime log; and based on the classified runtime log, train an aggregation model to represent a defined state of the application. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer-implemented method, comprising:
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based on a labeled deployment declaration, classifying, by a device operatively coupled to a processor, a runtime log associated with an application, resulting in a classified runtime log; and based on the classified runtime log, training, by the device, an aggregation model to represent a defined state of the application. - View Dependent Claims (16, 17, 18, 19, 20)
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21. A system, comprising:
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a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise; a tokenizing component that; applies one or more tokens to data associated with a deployment declaration of an application; and separates the data according to the one or more tokens, resulting in on or more separated tokens; a filtering component that; based on the one or more separated tokens, removes one or more extraneous tokens from the one or more separated tokens, resulting in a reduced number of the one or more separated tokens; and a classification component that; based on the reduced number of the one or more separated tokens, classifies a runtime log associated with the application. - View Dependent Claims (22, 23)
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24. A computer program product that facilitates identification of an application irregularity, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
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separate a file associated with a deployment declaration of an application, resulting in one or more separated tokens; based on the one or more separated tokens, remove one or more unneeded tokens from the one or more separated tokens; and based on the one or more separated tokens, classify a runtime log associated with the application. - View Dependent Claims (25)
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Specification