Assessment of Improved Embedded Linux Performance through Enhanced Memory Management

This paper explores enhancements to memory management algorithms on embedded Linux platforms, specifically focusing on TLSF and partner algorithm. These improvements aim to improve the speed and performance of embedded devices, crucial for meeting soft real-time constraints. The paper evaluates the effectiveness of these enhancements on the Embedded Linux operating system. Since embedded systems are expected to operate on hard or soft real time requirements, it becomes necessary for the operating system on embedded devices to reduce the latency as much as possible. Multiple concurrent tasks must be executed simultaneously seamlessly for certain applications. By ensuring efficient memory management, this goal can be primarily achieved efficiently.

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Publication Details

Journal
Journal of Integrated Science and Technology
Published
2025-07-30
DOI
https://doi.org/10.62110/sciencein.jist.2025.v13.1163
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Assessment of Improved Embedded Linux Performance through Enhanced Memory Management

Vrushali G. Raut, Supriya O. Rajankar, Madan Mali, Manasi Natu
Journal of Integrated Science and Technology
Cloud Computing and Resource Management
article

Assessment of Improved Embedded Linux Performance through Enhanced Memory Management

Vrushali G. Raut, Supriya O. Rajankar, Madan Mali, Manasi Natu
article en

Abstract

This paper explores enhancements to memory management algorithms on embedded Linux platforms, specifically focusing on TLSF and partner algorithm. These improvements aim to improve the speed and performance of embedded devices, crucial for meeting soft real-time constraints. The paper evaluates the effectiveness of these enhancements on the Embedded Linux operating system. Since embedded systems are expected to operate on hard or soft real time requirements, it becomes necessary for the operating system on embedded devices to reduce the latency as much as possible. Multiple concurrent tasks must be executed simultaneously seamlessly for certain applications. By ensuring efficient memory management, this goal can be primarily achieved efficiently.

Journal of Integrated Science and TechnologyVol. 13(7)
Savitribai Phule Pune University (IN)
Openalex Percentile: Top 68%
Cloud Computing and Resource Management
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Assessment of Improved Embedded Linux Performance through Enhanced Memory Management — Vrushali G. Raut, Supriya O. Rajankar, et al. · Journal of Integrated Science and Technology (2025) | TGRS Research Map | TGRS