Determining caching parameter metrics for caching data elements

Patent metadata

Field	Value
Publication number	US-12229049-B2
Application number	US-202318336154-A
Country	US
Kind code	B2
Filing date	Jun 16, 2023
Priority date	Jun 16, 2023
Publication date	Feb 18, 2025
Grant date	Feb 18, 2025

Abstract

Managing data element caching is provided. Non-functional requirements of a system running an application are mapped to resource utilization and system performance metric values corresponding to each of a plurality of caching parameters for each of data elements corresponding to the application suitable for caching. A caching decision is generated for each of the data elements corresponding to the application suitable for caching by identifying certain ones of the data elements for the caching to improve at least one of performance and throughput of the system based on the mapping. A data element caching decision recommendation is generated for the application based on the caching decision. The data element caching decision recommendation corresponding to the application is output to a client device of a customer via a network.

First claim

What is claimed is:

1. A computer-implemented method for managing data element caching, the computer-implemented method comprising:
mapping, by a computer, non-functional requirements of a system running an application to resource utilization and system performance metric values corresponding to each of a plurality of caching parameters for each of data elements corresponding to the application suitable for caching in response to performing an automated code analysis of the application;
generating, by the computer, a caching decision for each of the data elements corresponding to the application suitable for caching by identifying certain ones of the data elements for caching to improve at least one of performance and throughput of the system based on the mapping of the non-functional requirements of the system running the application to the resource utilization and system performance metric values corresponding to each of the plurality of caching parameters for each of the data elements;
generating, by the computer, a data element caching decision recommendation for the application based on the caching decision identifying the certain ones of the data elements for caching to improve the at least one of the performance and the throughput of the system; and
outputting, by the computer, the data element caching decision recommendation corresponding to the application identifying the certain ones of the data elements for caching to improve the at least one of the performance and the throughput of the system to a client device of a customer via a network.

2. The computer-implemented method of claim 1 , further comprising:
receiving, by the computer, production validation feedback regarding the data element caching decision recommendation corresponding to the application from the client device of the customer via the network after implementation in the system running the application;
determining, by the computer, whether the production validation feedback received from the customer was negative; and
storing, by the computer, the data element caching decision recommendation corresponding to the application in a database in response to the computer determining that the production validation feedback received from the customer was not negative.

3. The computer-implemented method of claim 2 , further comprising:
performing, by the computer, a set of action steps that includes at least one of highlighting portions of audit logs corresponding to the system running the application where potential issues exist so that a program developer can determine possible code rebuild of the application or reevaluating the resource utilization and system performance metric values corresponding to each of the plurality of caching parameters to generate a new data element caching decision for the application in response to the computer determining that the production validation feedback received from the customer was negative.

4. The computer-implemented method of claim 1 , further comprising:
receiving, by the computer, a request from the client device of the customer via the network to identify data elements of a plurality of data elements corresponding to the application running on the system in a production environment suitable for caching to improve the at least one of the performance and the throughput of the system in response to the customer identifying an issue with a service provided to users by the application;
retrieving, by the computer, audit logs corresponding to the system running the application from an audit log database in response to receiving the request; and
performing, by the computer, an analysis of the audit logs corresponding to the system running the application to identify historical caching of the plurality of data elements corresponding to the application.

5. The computer-implemented method of claim 4 , further comprising:
identifying, by the computer, the data elements suitable for caching based on the analysis of the audit logs corresponding to the system running the application; and
determining, by the computer, the resource utilization and system performance metric values corresponding to each of the plurality of caching parameters for each of the data elements suitable for caching based on the analysis of the audit logs corresponding to the system running the application.

6. The computer-implemented method of claim 5 , wherein the plurality of caching parameters includes at least one of cache refresh overhead, dirty read tolerance, cached data volatility, caching parameter frequency of usage, or resource utilization for caching.

7. The computer-implemented method of claim 1 , further comprising:
performing, by the computer, the automated code analysis of the application to identify the non-functional requirements of the system running the application.

8. The computer-implemented method of claim 1 , further comprising:
implementing, by the computer, the data element caching decision recommendation corresponding to the application automatically in the system running the application in a production environment.

9. The computer-implemented method of claim 1 , wherein caching is in-memory caching in the system running the application in a production environment.

10. A computer system for managing data element caching, the computer system comprising:
a communication fabric;
a storage device connected to the communication fabric, wherein the storage device stores program instructions; and
a processor connected to the communication fabric, wherein the processor executes the program instructions to:
map non-functional requirements of a system running an application to resource utilization and system performance metric values corresponding to each of a plurality of caching parameters for each of data elements corresponding to the application suitable for caching in response to performing an automated code analysis of the application;
generate a caching decision for each of the data elements corresponding to the application suitable for caching by identifying certain ones of the data elements for caching to improve at least one of performance and throughput of the system based on mapping the non-functional requirements of the system running the application to the resource utilization and system performance metric values corresponding to each of the plurality of caching parameters for each of the data elements;
generate a data element caching decision recommendation for the application based on the caching decision identifying the certain ones of the data elements for caching to improve the at least one of the performance and the throughput of the system; and
output the data element caching decision recommendation corresponding to the application identifying the certain ones of the data elements for caching to improve the at least one of the performance and the throughput of the system to a client device of a customer via a network.

11. The computer system of claim 10 , wherein the processor further executes the program instructions to:
receive production validation feedback regarding the data element caching decision recommendation corresponding to the application from the client device of the customer via the network after implementation in the system running the application;
determine whether the production validation feedback received from the customer was negative; and
store the data element caching decision recommendation corresponding to the application in a database in response to determining that the production validation feedback received from the customer was not negative.

12. The computer system of claim 11 , wherein the processor further exe

Assignees

• IBM

Inventors

• Patil Madhusmita
• Bharti Harish
• Sood Siddhartha
• Vohra Shweta

Classifications

• G06F11/3409

  for performance assessment · CPC title

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• H04L67/568

  Storing data temporarily at an intermediate stage, e.g. caching · CPC title

• G06F12/0888

  using selective caching, e.g. bypass · CPC title

• G06F2212/154

  Networked environment · CPC title