Improved the buddy system to reduce the system fargment created

Wenbo Zhao

doi:10.1117/12.2675348

25 May 2023 Improved the buddy system to reduce the system fargment created

Wenbo Zhao

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126363K (2023) https://doi.org/10.1117/12.2675348
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

In the OS Kernal, how to allocate disk space is a difficult question. Buddy system is one of important way in various allocating disk space way. We can reduce the fragmentation by Buddy System. However, Buddy System cannot avoid the fragmentation created because the logic in algorithm. How to improve the algorithm is a important way to reduce the fargmentation created and increase the life about system. Because of the Buddy System always merge and split the memory page, fragmenation is created in the process and accumulate in system. With the passage of time, the space which can be used by system will less and less in disk. If we can reduce the number of times of the memory page’s merged and spilted in the process of system in used, the fargmentation will be reduce in the system used.

Citation Download Citation

Wenbo Zhao "Improved the buddy system to reduce the system fargment created", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126363K (25 May 2023); https://doi.org/10.1117/12.2675348

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available