UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2505703


Registration ID:
562676

Page Number

g45-g52

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Title

Research on AutoTune: A Lightweight Feedback-Driven Kernel Parameter Tuning System for High-Concurrency VMware Environments

Abstract

Traditional Linux kernel parameter tuning often relies on static configurations (sysctl) that fail to adapt to dynamic workload changes, leading to suboptimal performance in high-concurrency environments. This paper introduces AutoTune, a lightweight, feedback-driven system designed for runtime kernel parameter adjustment on Ubuntu 24.04 within a VMware virtualized environment. Implemented entirely in user-space using a Bash script, AutoTune monitors real-time system load, specifically CPU load average, and dynamically modifies key kernel parameters (sysctl) to optimize performance under stress. We evaluate AutoTune's effectiveness by subjecting the system to controlled stress conditions using stress-ng and comparing critical performance metrics, including CPU utilization, context switches, and task latency, both with and without AutoTune enabled. While a rudimentary user-space implementation, AutoTune demonstrates the significant potential of adaptive kernel tuning to respond to fluctuating system demands on-the-fly, offering a valuable approach for scenarios such as cloud VMs, CI/CD pipelines, and multi-user systems. This work serves as a foundational baseline for future, more sophisticated implementations leveraging daemons, eBPF, or machine learning techniques for advanced performance optimization.

Key Words

Linux kernel tuning Dynamic kernel parameters Runtime optimization High-concurrency environments Ubuntu 24.04 VMware Virtual machine performance Feedback-driven system User-space implementation Bash scripting CPU load monitoring Performance evaluation

Cite This Article

"Research on AutoTune: A Lightweight Feedback-Driven Kernel Parameter Tuning System for High-Concurrency VMware Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.g45-g52, May-2025, Available :http://www.jetir.org/papers/JETIR2505703.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Research on AutoTune: A Lightweight Feedback-Driven Kernel Parameter Tuning System for High-Concurrency VMware Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppg45-g52, May-2025, Available at : http://www.jetir.org/papers/JETIR2505703.pdf

Publication Details

Published Paper ID: JETIR2505703
Registration ID: 562676
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: g45-g52
Country: Meerut, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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