MEMORY LEAKAGE MANAGEMENT

Patent №

US 7,779,223

Granted

2010-08-17

Filed 2008

Owner

Lab

AI components

1

hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

12052442

Methods, systems, and media to enhance memory leakage management by identifying a suspect allocation pattern during execution of a task, which may be indicative of memory leakage and implementing measures to protect against memory leakage based upon the suspect allocation pattern, are disclosed. More specifically, embodiments may detect a suspect allocation pattern by monitoring memory allocations and deallocations for tasks. The pattern of memory allocations and deallocations may then be analyzed to determine whether a suspect allocation pattern exists. For instance, the memory allocations and deallocations may be compared to determine whether there is an increasing net residual allocation left by the task after it has reached a quiescent runtime state. In some embodiments, a suspect allocation pattern exists if the total memory allocation for a task continues to rise after a pre-determined time period.

AI hardwareG06F 11/362G06F 12/023G06F 2212/1032G06F 2212/1044

AI classification

AI hardware1.00
Knowledge representation0.28
Vision0.12
Planning0.06
Evolutionary computation0.01
Natural language0.00
Machine learning0.00
Speech0.00
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