Hardware Acceleration Design for Embedded Operating System Scheduling

Jian He Liao, Jer-Min Jou, Cheng Hung Hsieh, Ding Yuan Lin

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This study examines the scheduling hardware for an embedded operating system (OS). This scheduler, which implements task sorting and choosing, is deployed when a new task enters in the system. The scheduler always limits the performance of an embedded operating system, so we consider designing the scheduler within the hardware to accelerate the performance of the OS. Therefore, hardware is used which involves an inserting and removing task in the red-black tree [9] and a checking of the red-black tree with regards to whether or not its rules are being followed. Additionally, the software communicates with the hardware by sending task data and is designed specifically to build the red/black tree into the hardware. Finally, the scheduler chooses a task from the red-black tree and tells the software to execute the program. In experiments, the performance of the embedded operating system scheduling hardware improves beyond the existing software by 13%.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Applications - Volume 2
Subtitle of host publicationProceedings of the International Computer
EditorsChang Ruay-Shiung, Peng Sheng-Lung, Lin Chia-Chen
Pages759-767
Number of pages9
DOIs
Publication statusPublished - 2013 Jun 28

Publication series

NameSmart Innovation, Systems and Technologies
Volume21
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

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