Presenter Information

Luke BartholomewFollow

Presentation Type

Oral Presentation

Mentor/Supervising Professor Name

Alférez, Harvey

Presentation Location

On Campus

Description

This paper is a proposed solution to the problem of memory safety using machine learning. Memory overload and corruption cause undesirable behaviors in a system that are addressed by memory safety implementations. This project uses machine learning models to classify different states of system memory from a dataset collected from a Raspberry Pi System. These models can then be used to classify real run time memory data and increase memory safety overall in a system.

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Apr 18th, 3:30 PM Apr 18th, 4:15 PM

Optimization of Memory Management Using Machine Learning

On Campus

This paper is a proposed solution to the problem of memory safety using machine learning. Memory overload and corruption cause undesirable behaviors in a system that are addressed by memory safety implementations. This project uses machine learning models to classify different states of system memory from a dataset collected from a Raspberry Pi System. These models can then be used to classify real run time memory data and increase memory safety overall in a system.