METHOD AND APPARATUS FOR OBTAINING INFORMATION OF STACK FRAME IN CALL STACK, DEVICE, AND MEDIUM

    公开(公告)号:US20240126627A1

    公开(公告)日:2024-04-18

    申请号:US18277005

    申请日:2022-02-28

    Inventor: Hongkai LIU

    CPC classification number: G06F11/006 G06F2201/87

    Abstract: Provided are a method and apparatus for obtaining information of a stack frame in a call stack, a device, and a medium. The method includes: obtaining to-be-processed call stack with an abnormality during running of a program, each area element of the to-be-processed call stack including a method pointer and corresponding instruction offset value; applying for a first memory area used to store the method pointer and the corresponding instruction offset value; applying for a second memory area, and storing an address of the first memory area into a first area element in the second memory area; applying for a third memory area, and storing an address of the second memory area into a target storage area in the third memory area; and obtaining information of each stack frame in the to-be-processed call stack based on the address of the second memory area stored in the target storage area.

    Proactive information technology infrastructure management

    公开(公告)号:US11748227B2

    公开(公告)日:2023-09-05

    申请号:US16539969

    申请日:2019-08-13

    Abstract: Disclosed herein is a computer implemented method and system for analyzing load responsive behavior of infrastructure components in an electronic environment for proactive management of the infrastructure components. Transaction data on multiple application transactions is collected. Load patterns are identified from the collected transaction data for generating load profiles. Data on infrastructure behavior in response to the application transactions is collected. Infrastructure behavior patterns are identified from the infrastructure behavior data for generating behavior profiles. The generated load profiles and the generated behavior profiles are correlated to create a load responsive behavior model. The created load responsive behavior model predicts behavior of the infrastructure components for different load patterns. A live data stream from current application transactions is analyzed using the load responsive behavior model to determine current load responsive behavior. Deviations of the current load responsive behavior from the predicted behavior are detected using the load responsive behavior model.

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