Invention Grant
- Patent Title: Memory leak detection using real-time memory growth pattern analysis
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Application No.: US17247903Application Date: 2020-12-29
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Publication No.: US11526426B2Publication Date: 2022-12-13
- Inventor: Prateek Halwe , Amit Arora , Harmeet Singh , Rahul Chandra Khali
- Applicant: Juniper Networks, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Juniper Networks, Inc.
- Current Assignee: Juniper Networks, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Shumaker & Sieffert, P.A.
- Priority: IN202041026176 20200622
- Main IPC: G06F11/36
- IPC: G06F11/36 ; G06F11/14 ; G06F11/30

Abstract:
The disclosure describes techniques that enable detection of memory leaks of software executing on devices within a computer network. An example network device includes memory and processing circuitry. The processing circuitry monitors a usage of the memory by a software component operating within the network device. The processing circuitry periodically determines a memory growth pattern score for the software component based on the usage of the memory. The processing circuitry also predicts whether the user-level process is experiencing a memory leak based on the memory growth pattern score. The processing circuitry applies confirmation criteria to current memory usage of the software component to confirm that the software component is experiencing the memory leak. When the software component is experiencing the memory leak, the processing circuitry generates an alert.
Public/Granted literature
- US20210397536A1 MEMORY LEAK DETECTION USING REAL-TIME MEMORY GROWTH PATTERN ANALYSIS Public/Granted day:2021-12-23
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