Enhancing CFS Scheduler Performance through Binomial Heap Integration

This paper proposes an enhancement to the Completely Fair Scheduler (CFS) in Linux by replacing the Red-Black Tree (RBT) with a Binomial Heap to improve scheduling efficiency. While CFS provides fair CPU time allocation, its reliance on RBT can lead to inefficiencies as the number of tasks grows, particularly in insertion and extraction operations. The Binomial Heap, with its constant time complexity for insertion operation makes it a suitable alternative. Performance evaluations demonstrate that this modification decreases the time required for insertion by up to 50% and for extraction up to 12%. In this paper, this modification is implemented and evaluated demonstrating that the Binomial Heap improves system performance in managing tasks within CFS.

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-12-04
DOI
https://doi.org/10.22214/ijraset.2024.65690
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing CFS Scheduler Performance through Binomial Heap Integration

Rajat Dhanure
International Journal for Research in Applied Science and Engineering Technology
Embedded Systems Design Techniques
article

Enhancing CFS Scheduler Performance through Binomial Heap Integration

Rajat Dhanure
article en

Abstract

This paper proposes an enhancement to the Completely Fair Scheduler (CFS) in Linux by replacing the Red-Black Tree (RBT) with a Binomial Heap to improve scheduling efficiency. While CFS provides fair CPU time allocation, its reliance on RBT can lead to inefficiencies as the number of tasks grows, particularly in insertion and extraction operations. The Binomial Heap, with its constant time complexity for insertion operation makes it a suitable alternative. Performance evaluations demonstrate that this modification decreases the time required for insertion by up to 50% and for extraction up to 12%. In this paper, this modification is implemented and evaluated demonstrating that the Binomial Heap improves system performance in managing tasks within CFS.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(12)
International Institute of Information Technology (IN)
Openalex Percentile: Top 76%
Embedded Systems Design Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.